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Join our dynamic team at daangn as a Data Analyst Intern focusing on Cross Product Growth. This is an exciting opportunity for individuals eager to dive into data analysis and contribute to innovative projects. You will work closely with experienced analysts to derive insights from data, helping to shape our product strategies and improve user experience.
daangn is a leading technology company in South Korea, specializing in innovative digital solutions that enhance everyday life. We pride ourselves on our creative approach and commitment to developing products that meet the evolving needs of our users.
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# About the Team/Position- The Data Product Manager (Log) is part of the Real-Time Data team.- This team ensures that all Toss Bank products operate on reliable data by designing and managing the entire process of log data from 'definition - collection - validation - utilization'.- The App Log Manager plays a crucial role in maintaining the integrity of log …
TossCareers
Join our dynamic team as a Data Engineer specializing in log platforms. In this role, you will work with cutting-edge technologies to design, build, and maintain robust data pipelines. Your expertise will help us manage and analyze extensive log data, enabling improved decision-making and operational efficiency.
Toss Bank
# Data Product at Toss Bank- The Data Product team views data as valuable, creating user-friendly data-centric products.- Data Products are built on data pipelines, analytics systems, and machine learning models, making them easily accessible for individuals and systems.- Our Data Products must ensure clarity in value delivery, with attributes such as consistency, reliability, regulatory compliance, security, usability, scalability, and reusability.- We offer completed service-oriented Data Products like recommendation systems, fraud detection systems (FDS), optical character recognition (OCR), speech-to-text (STT), and dashboards, as well as reusable and combinable Data Mart/API products.# Role Overview- As a Data Product Manager (Mart, API), you will define and manage the company's data as a 'product'. Your responsibility is to provide data in a timely, accurate, and user-friendly manner to internal analysts, engineers, and planners, thereby accelerating data-driven decision-making and driving business growth.- Upon joining, you will integrate into the Data Division, developing and executing the roadmap for data products centered around enterprise data marts and APIs.# Responsibilities- Define and execute the roadmap for data products based on Data Mart and API.- Identify data consumer requirements (VOC) to define data structures, schemas, and access methods (APIs), designing the best developer experience.- Collaborate closely with Data Engineers, Analysts, and operational departments to bridge the gap between business requirements and technical implementation.- Lead the design of a scalable and stable data architecture, understanding complex requirements such as data governance, security, and privacy.- Set key performance indicators (KPIs, OKRs) to measure the success of data products and continuously monitor and improve data quality, API response times, and usage.- Shape the overall data strategy of the organization, designing and executing a long-term vision of 'creating business value through data'.# Ideal Candidate- We are looking for someone with experience or deep understanding of planning and launching data products such as Data Marts, data warehouses, API platforms, and BI tools.- Preferred candidates will have experience leading technically challenging or ambiguous projects to completion.- We seek individuals who can create incremental outcomes while considering both business impact and technical feasibility.- Ideal candidates will want to engage not just in project management but also in transforming the organizational culture and processes around data utilization, collaborating with diverse stakeholders (analysts, engineers, operational departments) to build stronger teams.- We favor those who approach problems holistically and redefine them when necessary to guide projects in better directions.- Experience designing developer APIs or leading large-scale data pipeline projects is a plus.# Resume Tips- Clearly articulate your contributions to data-related projects.- Present a clear narrative of problem definition, solution derivation, collaboration process, and final outcomes.- Focus on achievements (e.g., increased API usage, improved data quality, contributions to automation) rather than simply listing roles.- Highlight experiences solving complex data/technical problems while collaborating with multiple stakeholders.# Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any falsehoods are discovered in your resume or disciplinary issues are found in your work history, your application may be canceled.- Candidates who fall under disqualifications according to Toss Bank’s internal regulations or hiring disqualifications for financial institutions may have their applications canceled.- Individuals with disabilities and those eligible for national veteran status will receive preferential treatment in accordance with relevant laws.# Colleague's Insight> "You must be able to view Toss Bank's data as a product."- You will play a role in outlining the roadmap for data products based on Data Mart and API, especially in accelerating data-driven decision-making and driving business growth, which offers significant career growth opportunities.
Toss Securities
Join Our Dynamic Team As a Data Analyst at Toss Securities, you will be part of our data analytics team. Our Data Analytics (DA) team comprises two main segments: the enterprise analytics unit and the product analytics unit, where you will be contributing to product analysis. Our team is diverse, with members hailing from finance, gaming, e-commerce, O2O, and portal backgrounds, bringing a wealth of experience. Your Responsibilities Support data-driven decision-making for our product development teams. Quantify team goals and identify key levers to achieve them, providing direction for prioritization. Contribute to product enhancements through A/B test design and result analysis, leveraging various analytical methodologies for insights. Ideal Candidate Profile Proficient in SQL for data extraction and cleansing. High-level understanding of mobile service data analysis methods (Customer Lifetime Value, Retention, Cohort Analysis, etc.). Experience in setting hypotheses and conducting experiments to improve services. Demonstrated ability to design A/B tests and derive meaningful results. Familiarity with data visualization tools (such as Tableau) is a plus. No strict experience level is required; we value insights gained from diverse experiences. Resume Recommendations Detail impactful projects from your experience. Clearly outline the problem definition, hypothesis setting, experimental design, and result validation processes. Share experiences where you deepened user understanding through data analysis and proposed actionable strategies. Confirm proficiency in mobile service data analysis methods (LTV, AARRR, Cohort, Funnel, etc.). If objectives were met, quantify improvements in metrics like churn rate, conversion rate, and revenue. (Please omit sensitive information if necessary.)
# About the Team You'll Join- As a Data Product Manager (AI) at Toss Bank, you will lead the rapid experimentation of AI/ML-driven features and products, connecting them to actual user experiences to drive product success.- Upon joining, you will collaborate with the ML Service Team to discover, plan, implement, and operate AI-based products.# Responsibilities You Will Undertake- You will spearhead the end-to-end planning and improvement cycles of AI and ML-based products.- Define and execute how various AI and ML technologies should function in Toss Bank's customer-facing or internal products.- Collaborate closely with Data Scientists and ML Engineers to bridge technology and product.- Understand complex technical, business, and regulatory requirements, designing domains with developers while strategically solving problems.- Define business impact, design metrics, and enhance products through A/B testing and iterative experimentation.- Design user experiences and business structures from a long-term perspective, focusing on AI.# Ideal Candidate Profile- We are looking for someone with experience or strong interest in services utilizing AI Agents, LLM, and ML.- You should possess experience leading high-complexity or uncertain challenges to completion.- We value those who wish to engage not just in project management but also in transforming organizational development processes and cultures, working with diverse stakeholders (planning/design/development/operations/partners) to build a stronger team.- You need to have the ability to create incremental outcomes by considering both business impact and technical feasibility.- We want someone proactive who can think comprehensively about challenges, redefine them when necessary, and lead towards better solutions.- Practical experience designing and operating ML-based products or systems is a plus.# Resume Submission Tips- Clearly detail your direct contributions to products/services/projects.- Your resume should reflect a clear flow from problem definition to solution derivation, collaboration with stakeholders, and outcome.- Instead of merely listing tasks, include achievements and insights gained during the process.- Highlight any experience where you contributed to measurable outcomes or improvements in business metrics.- Share experiences where you collaborated with multiple developers to resolve complex technical issues.# The Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any false information is found in the resume or if disciplinary actions are confirmed during employment history, the recruitment may be cancelled.- Candidates with disqualifying reasons as per Article 8 (Disqualification) of Toss Bank’s employment regulations may have their recruitment cancelled.- Individuals with disabilities or national veterans are preferred according to relevant laws.# A Colleague's Insight"It's not just about having great technology; it gains meaning when it connects with customer experiences."- At Toss Bank, the AI PM does not limit themselves to experiments and ideas. They take full responsibility for how technology solves problems and what experiences it provides to users.- By collaborating closely with Data Scientists and ML Engineers, decisions are guided not only by metrics but also by actual user feedback. If technology isn't functioning well or fitting the context, it’s also the PM's role to shift direction and redefine the problem itself.- This is a team where such considerations are natural and rapid experimentation is encouraged!
# Join Us in the Domain- Commerce: Our commerce domain, initiated to enhance simple payment solutions, has grown to provide both group buying and administrative services for sellers. You will own the data for the commerce domain and play a crucial role in expanding our services, significantly contributing to Toss's growth.- Ads: You will take ownership of the advertising domain data to deliver meaningful ads to Toss users. Toss Ads is the most effective performance advertising platform in Korea, and you will help build a solid foundation for its efficient utilization.- Pay: As a key area of finance, the payment domain significantly steers Toss's growth. You will facilitate connections with various merchants and external organizations to develop Toss Pay, ensuring smooth analysis and insights from payment data.- Growth: Focused on enhancing user engagement and economic value, you will strategize and execute plans for the growth of new services and cross-activation of Toss users.- Business: Placed within the business organization that drives revenue growth for Toss, you will utilize comprehensive data across various domains to provide insights for business analytics and revenue growth strategies.- An interview process will determine the most synergistic domain for your placement, considering your strengths and the organization's needs.- **Want to learn more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)
Role Overview Toss is seeking a Data Governance Manager in Seoul to help strengthen data integrity, compliance, and management across the company. This role works closely with teams throughout the organization to build and maintain data governance frameworks and policies. The focus is on responsible data use and adherence to regulatory requirements. What You Will Do Develop and implement data governance frameworks and policies Collaborate with cross-functional teams to align on data management standards Support compliance efforts by ensuring data practices meet regulatory guidelines Promote a culture of accountability and transparency in data handling Contribute to the ongoing development of Toss’s data strategy
Toss Securities
About the Team You Will JoinThe Product Owner for Toss Securities' AI Data Platform focuses on generating diverse investment information content through AI, enabling customers to make informed investment decisions.Your team is dedicated to gathering all types of data and creating a pipeline that allows AI to generate content tailored to customer needs.We collaborate with various internal silos to build the necessary infrastructure for seamless data and machine learning service delivery, fundamentally transforming the investment experience through enhanced search and recommendation capabilities.Additionally, you will belong to a PO/PM chapter where you can share and solve product management challenges with other Product Owners and Managers.Your ResponsibilitiesDefine challenges in the customer investment journey and hypothesize AI-driven solutions.Plan AI-based content and experiences to help customers become more comfortable with investing.Refine and structure diverse data sources, including investment data, to make them usable.Design products that assist in customer investment decision-making using the latest AI technologies, including RAG, LLM, and ML modeling.Collaborate with ML Engineers and Data Engineers to develop prototypes, enhance model performance, and bring products to market.What We Are Looking ForNo specific years of experience required; we value depth of experience over years worked.Experience in developing or planning data and AI-driven products (search/recommendation/ML/unstructured data/personalization/ETL) is essential.Experience in simplifying and standardizing complex data pipelines to quickly supply necessary data is highly preferred.Ability to clearly define customer problems and connect them with technical solutions.Strong communication skills to collaborate effectively with MLEs and DEs.Resume TipsClearly outline the flow of problem definition, solution derivation, collaboration with stakeholders, and the resulting outcomes for each product, service, or project.Include insights and achievements from the processes rather than just listing tasks.The Journey to Joining Toss SecuritiesApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and OnboardingPlease NoteIf any false information is found in your resume or if disciplinary actions are confirmed in your employment history, hiring may be canceled.Hiring may be canceled for candidates who fall under Toss Securities' hiring restrictions or disqualification criteria.
Welcome to daangn Team JourneyAt daangn, we are committed to creating an environment where individuals can grow alongside the company's expansion.We, the daangn recruitment team, are here to assist you in having those moments of joyful contemplation with wonderful colleagues. Introducing the Data Analyst Roledaangn's vision is to foster a warm and active community by connecting neighbors. To achieve this vision, we continuously enhance our products through informed decision-making. As a Data Analyst, you will play a crucial role in improving the quality of these decisions through data analysis.The Data Analyst at daangn will uncover insights regarding user needs and product development directions by analyzing vast amounts of data generated from our products. By closely communicating with various teams, you will define data analysis tasks that address the problems we need to solve and convey the insights gained in an understandable manner to all team members. This process will guide our decision-making in the right direction, contributing to daangn's growth.Your ResponsibilitiesYou will belong to the Data Analyst Chapter while also being affiliated with specific business or organization teams.Define data analysis tasks necessary for product growth and user experience improvement, analyzing diverse data dimensions such as product, user behavior, marketing, and revenue to provide insights and strategies.Systematize and structure the company's goals and team objectives through measurable indicators, creating an accessible environment for all team members.Set indicators and hypotheses for goal achievement, proposing action items through A/B test design and interpretation.Structure and convey insights from analyses in an easily understandable manner for team members.Lead the team's data-driven decision-making culture.We Are Looking ForA candidate with experience in web/app data analysis and a proven track record of product improvement.A problem-solver who can define complex issues and think multidimensionally about various hypotheses.An individual with a solid understanding of mobile service data analysis methods (such as AARRR).Experience or knowledge in designing and executing A/B tests to drive product improvements.Proficiency in SQL (BigQuery), Python, and capable of efficiently querying and processing data.A communicator who can effectively convey data-driven decisions to team members.Preferred QualificationsExperience in utilizing data to propose strategies and achieve business impact.Hands-on experience in the entire data modeling process for analysis.A keen interest in marketing data analysis and marketing automation, familiar with tools like Appsflyer and Adjust.
Toss Securities
Join Our Dynamic Team!The Data Analytics Engineer (Data Engineer) at Toss Securities is an integral part of the Data Warehouse Team within the Data Division.Your focus will be on Data Platform and Data Mart, with opportunities to collaborate cross-functionally.The Mart responsibilities include structuring and managing data from the Toss Securities domain to facilitate analysis through data warehouse and aggregation table creation.Our current team of approximately 7 members brings diverse experiences ranging from 2 to 14 years, with backgrounds in various sectors such as portals, banking, gaming, and startups. Curious About Our Data Division?The Data Division at Toss Securities strives to become a world-class securities firm by leveraging data technology, services, and data-driven decision-making.We foster close collaboration among various data roles, creating an enjoyable working environment.Regular Tech Weekly sessions are held to share expertise, allowing you to engage with and learn from other roles as per your interest. Your Responsibilities Will Include:Designing clear and reliable table structures that can be easily understood and utilized, encompassing architecture design, compliance with standards, data processing logic management, data integrity validation, DQ monitoring, security reviews, and documentation using meta management systems.Collaborating with data users to design data marts and establish pipelines for key business performance analysis.Setting the groundwork for effective data asset utilization through data cataloging and standard management.Proactively addressing essential data processing tasks in a rapidly growing service environment with your colleagues.Enhancing system efficiency by effectively refactoring and optimizing various existing mart tables through data modeling that considers consistency, reusability, and scalability.Designing data marts and constructing pipelines for external/public reporting requirements. We Are Looking For Someone Who:Has a deep understanding of the securities domain or has actively engaged in stock trading.Can clearly define key concepts of the securities domain as a DW data modeler and take the lead in designing easy-to-understand data structures.Has experience simplifying complex data models or automating repetitive issues.Can propose efficient data processing methods while adhering to data standards through smooth communication with various stakeholders.Has experience structuring enterprise tables through defining data standards and building data catalogs.Is capable of independently conducting data warehouse/mart modeling, pipeline construction, and operational tasks.Can present standards from a clear data structure and efficient utilization perspective, rather than just processing simple requests.Is proficient in SQL and can write organized queries considering readability and efficiency.Has experience developing data pipelines based on Hadoop, Airflow, and DBT.May need to have intermediate to advanced skills in PySpark, depending on the situation.Would benefit from having experience with BI tools such as Tableau. Resume Tips:Detail impactful projects you have worked on.If you have improved services, quantify the results (omit sensitive external information).Elaborate on your work related to data governance.Include business analysis or reporting experience.
Toss Securities
About the Team You'll Join The Data Analytics Engineer at Toss Securities is part of the Data Warehouse Team within the Data Division. Your responsibilities will be focused on Data Platform and Data Mart tasks. While your primary focus will vary, you will also engage in cross-functional projects. The Platform tasks involve maintaining and optimizing ETL/Pipeline Tools to effectively manage the DW Mart tables. You will explore and implement new methods to reduce DW operation time with limited resources. Our goal is to maximize data utilization across the organization using tables managed by the DW team. The current team consists of approximately 7 members with varying experience levels ranging from 2 to 14 years, coming from diverse backgrounds including portals, banking, gaming, and startups. Curious about the Data Division? The Data Division at Toss Securities aims to become the world's leading securities firm in data handling, contributing through data technology, services, and data-driven decision-making. We foster close collaboration among various data professionals and enjoy our work. Regular Tech Weekly sessions allow us to share expertise, and you can freely engage with different teams to learn from each other. Your Responsibilities Experience and contribute to an efficient DW environment within a rapidly growing agile organization. Design data marts and develop and automate DW Data Workflows based on the Hadoop Ecosystem and open-source solutions. Identify and implement methods for structuring and automating numerous DW/Mart tables. Process large volumes of data swiftly and effectively to create and manage various features. Establish Data Quality Checks and Governance within the data marts. Experience in deriving and establishing system requirements for large data processing and analysis is a plus. Ideal Candidate At least 5 years of experience as a Data Engineer is essential. You should possess a fundamental understanding of RDBMS, Hadoop Ecosystem, and Data Warehousing. Proven experience in leading the design, construction, and operation of data marts is required. You should be capable of installing, operating, and troubleshooting Airflow, DBT, and Django, with the ability to modify open-source tools to develop features needed for securities DW. Experience in simplifying complex problems or automating repetitive tasks using data models is critical. Extensive experience in efficiently processing big data using Spark is highly desirable. Intermediate proficiency in Python and advanced skills in SQL are required. Resume Tips If you have resolved critical issues while operating platforms or optimized performance and system resource usage, please include those experiences. Be specific about impactful projects you have worked on. If you have addressed bugs or issues while using open-source tools, or developed or enhanced features, please detail those experiences. Highlight the results of any improvements made in actual services, quantified if possible (please exclude sensitive information if necessary). Join Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation >...
Join our dynamic team at daangn as a Data Analyst Intern focusing on Cross Product Growth. This is an exciting opportunity for individuals eager to dive into data analysis and contribute to innovative projects. You will work closely with experienced analysts to derive insights from data, helping to shape our product strategies and improve user experience.
Toss Securities
Join Our Team!The Realtime Data Engineer will be part of the Realtime Data Team within our Data Division.This team operates a distributed messaging streaming platform, ensuring the stable transmission of large-scale financial transactions.We manage high-volume data pipelines that deliver data with zero latency while maintaining integrity.Moreover, we integrate real-time data into OLAP environments, enabling immediate business decision-making and service enhancement. Your Responsibilities:Operate and optimize our Kafka cluster to ensure high availability of large-scale data from Toss Securities.Utilize tools like CDC, Kafka Connect, Flink, and ksqlDB to construct real-time data pipelines.Manage OLAP to efficiently store and query large volumes of incoming real-time data, optimizing query performance.Enhance architecture for greater throughput and lower latency, proactively assessing and implementing next-gen technologies for reliable data services. Ideal Candidate:Experience managing large-scale data platforms, ensuring infrastructure stability and performance.Proven experience designing and operating Kafka-based architectures or a deep understanding of distributed messaging systems.Intermediate to advanced proficiency in Java (or Kotlin), capable of implementing complex business logic in real-time streaming frameworks (Flink, ksqlDB).Experience building or operating real-time analytics environments using OLAP systems like ClickHouse, StarRocks, Druid, or Pinot.A broad experience in Data Engineering or depth in a specific area, eager to expand your role.Strong foundation in Data Engineering skills, quick to learn new tech stacks, and adept at finding optimal solutions in diverse situations.Excellent communication skills to collaboratively tackle complex problems with the team. Joining Toss Securities:Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding Please Note:Any inaccuracies found in the resume or disciplinary issues during employment history may lead to cancellation of the application.Candidates who are prohibited from hiring or have disqualifying reasons according to Toss Securities' regulations may have their applications canceled.Individuals with disabilities or national veterans are given preferential treatment in accordance with relevant laws. A Note for Future Colleagues:Processing transaction data generated in the securities domain in real-time is of high importance from a business perspective and poses significant technical challenges.The Toss Securities Realtime Data Team is at the forefront of this effort, currently maintaining stable securities services.Toss Securities continues to grow. We hope that the entire process of maintaining the systems of a growing securities firm will be an enjoyable journey.
USA Survey Job
Join Our Team as a Remote Data Entry Clerk - Part-Time (Side Gig)Are you motivated to earn extra income from the comfort of your home? We invite you to become part of our South Korea Market Research Panel today. This opportunity allows you to engage in paid research studies, either online or in person, providing you with the flexibility to work on your own terms.Compensation:As a data entry clerk, you will participate in surveys and earn money through various payment options such as PayPal, direct checks, and online gift card codes. Additionally, there are opportunities to earn rewards for your contributions.Responsibilities:- Participate in surveys and studies by adhering to provided instructions.- Engage in research focus groups.- Complete written studies as assigned.- Utilize products or services provided for evaluation purposes.Requirements:- A working camera on your smartphone or a webcam on your computer is necessary.- Reliable internet access is essential.- Willingness to engage in various topics related to market research.- Ability to follow detailed written and verbal instructions.Job Benefits:- Participate in both online and in-person discussions without commuting.- Flexible hours with no minimum time commitment.- Receive free samples from our partners for your feedback.- Opportunity to test products before they are available to the public.- This is a part-time, remote position.To apply, simply click the "Apply" button. We welcome applications from anyone seeking part-time, flexible work from home. No previous experience is required, making this an excellent opportunity for supplemental income.*Please note: This position is intended for those looking to earn extra money and is not a full-time job.Apply here: http://track.usasjbtracking.com/5eac2266c6fe19000125634fWe are looking for self-motivated individuals who enjoy working independently, are comfortable with data entry and email client service, and are eager to review products.
daangn
Welcome to the Journey of Joining the Daangn Team!At Daangn, we strive to create an environment where individuals can grow alongside the company's growth.The Daangn recruitment team is here to help facilitate those moments of thoughtful collaboration with wonderful colleagues. Introducing the Data Value TeamThe Daangn team is dedicated to uncovering valuable information within local neighborhoods and resolving inconveniences in regional living. To create user value, it's essential to provide trustworthy information that users can easily access and incorporate into their decision-making. While Daangn already utilizes extensive data for decision-making, maximizing the value of our data requires significant changes.The vision of the Data Value Team is to make decisions for users through data every day. To realize this vision, we proactively tackle challenges in data value realization and lead the way in solving them.About the Data Software Engineer RoleThe Data Software Engineer plays a crucial role in addressing the challenges that arise during the process of data value realization through software engineering.In alignment with Daangn's rapid growth, you will design data systems that will not become bottlenecks in the future. You will ensure data reliability through automated testing and system observability. Additionally, you will solve technical problems that arise as Daangn members seek to understand users through data, thereby exponentially enhancing data-informed decision-making through data products (indicator platforms, experiment platforms, etc.).The mission of the Data Value Team's engineers is to facilitate a seamless flow of high-quality data at Daangn, enabling the creation of value without bottlenecks. Discover the Journey of the Data Value Team Growing with Daangn (Google Data Webinar) Learn about Daangn's Indicator Platform, KarrotMetrics Seven Challenges Daangn Faced in Implementing DBT and Airflow Tips for Easy Modeling with DBT from Daangn's Data Engineer (2024 Data Conference) Creating a Data Map at Daangn: Building Column Level Lineage No Need to Always Fetch Everything? Daangn's MongoDB CDC Build
Toss Bank
Join Our Team! The Finance Data System Developer at Toss Bank will be part of the Finance Data Platform Team within the Data Division. This team is responsible for managing management accounting and financial ALM simulation systems. We utilize the Hadoop Ecosystem and open-source environments to manage finance data. Your Responsibilities: Collaborate closely with the financial analysis team to design and manage management accounting systems. Work in tandem with the financial ALM team to design and develop ALM simulation systems. Engage in workflow development and automation tasks using Hadoop Ecosystem and open-source solutions. Ideal Candidate: Experience in management accounting or ALM system management within the financial sector is required. Proficiency in implementing business logic using Java or Python is essential. Strong SQL skills are necessary. Experience in designing marts and scheduling for financial analysis or ALM is preferred. Experience in developing management accounting or ALM systems utilizing Frontend/Backend technologies is a plus. Familiarity with data processing technologies in the Hadoop ecosystem is advantageous. Resume Tips: Please include the following in your application: a description of a problem you solved through automation or with a new approach, and an experience where you deeply learned a new technology. Join the Toss Bank Journey: Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Offer and Joining. Important Notes: False information in your resume or disciplinary issues in your work history may lead to cancellation of your application. Candidates with disqualifying factors as per Toss Bank’s employment regulations may also have their applications canceled. Individuals with disabilities and national veterans are given preference according to relevant laws.
Join Our Data Platform Team!As a Data Engineer at Toss, you will be part of our Data Platform Team.The team consists of Data Engineers and Data Analytics Engineers.We are responsible for building platforms and data pipelines essential for analyzing the services provided by Toss.Your ResponsibilitiesDevelop and operate OLAP (Online Analytical Processing) based data pipelines.Design and optimize systems for reliable operation of large-scale data analysis and real-time/batch data pipelines.Develop and manage batch and streaming pipelines to load various types of data generated at Toss.Continuously improve data models and processing logic based on service requirements.We Are Looking For Candidates Who HaveExperience operating services in a Kubernetes (K8s) based environment.Experience in designing and operating data streaming pipelines using Kafka and Kafka Connect.Experience in processing large volumes of data using Apache Spark (Batch/Structured Streaming).Additional Skills That Would Be a PlusExperience in operating and tuning MPP/OLAP engines like StarRocks or ClickHouse.Experience in building Data Lakehouses using Open Table Formats such as Apache Iceberg, Hudi, or Delta Lake.Experience in real-time data processing using streaming frameworks like Kafka Streams or Apache Flink.Experience in designing and operating ETL pipelines based on Airflow.Your Journey to Join TossApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer
Toss Careers
Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.
Toss Careers
Role overview Toss Careers is seeking a Data Engineer in Seoul to strengthen its advertising initiatives. The position centers on creating data solutions that guide advertising choices and enhance campaign results. Close collaboration with colleagues from different teams is a key part of the role. What you will do Build and maintain data pipelines and systems tailored for advertising analytics Use modern tools to process and analyze large volumes of data Work with team members to turn business requirements into technical solutions Transform raw data into practical insights that shape advertising strategy Location This role is located in Seoul.
Join Our Dynamic Team At Channel Talk, we have demonstrated exceptional product competitiveness while rapidly growing in the SMB and Mid-market sectors. To create an even steeper growth trajectory, we are establishing a dedicated sales team to focus on Enterprise customers.This team is not about managing existing clients; it is about acquiring new clientele. We are looking for someone who can embark on this journey with us from the ground up. As the first team member and leader, you will initially focus more on hands-on contributions rather than managerial tasks. However, as the team expands, your role will evolve to encompass more management responsibilities.Your primary role will involve leading significant deals and creating success stories, which are crucial for establishing our presence in the enterprise market. As the team grows, you will take on key management functions, including recruitment, development, and performance management, so we seek someone who can adeptly navigate these challenges.
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