Data Engineer at zzazz | Bangalore

Join Atolls, the world’s largest community-driven shopping platform, serving over 20 markets.We empower millions to make informed spending decisions by connecting them with the right brands and retailers.Our diverse team of over 1,000 professionals across 10 countries builds products that impact users daily, offering you a chance to make a real difference. R…

Job PurposeContribute to the development and enhancement of our premier Video metadata software solutions.Create applications with a platform-first approach, prioritizing scalability, consistency, and reliability in every decision made.Job DescriptionAs a Senior Engineer, you will spearhead the design, development, and maintenance of high-quality software applications. Collaborating with cross-functional teams, you will define, design, and implement new features, while ensuring application performance, quality, and responsiveness. Additionally, you will mentor and guide junior engineers toward success.Required Experience and SkillsProven experience in designing, developing, and scaling enterprise-grade applications, including building solutions from the ground up.Familiarity with a range of backend and front-end technologies, including Java and JavaScript.A willingness to work with legacy systems and a curiosity for automating outdated processes.Experience in constructing ETL/ELT processes to draw data from diverse sources (APIs, databases, files, etc.).Ability to optimize existing data pipelines for enhanced performance, cost efficiency, and reliability.Expertise in databases, including schema design for large-scale applications, with essential experience in SQL, NoSQL, and vector datastores.SQL examples: PostgreSQL, MySQL, OracleNoSQL examples: MongoDB, Cassandra, Redis, DynamoDB, Elastic Search, Neo4jVector datastore examples: Pinecone, Pgvector, Milvus, Redis Vector SimilarityDemonstrated experience in leading and mentoring engineering teams to ensure effective project delivery.Comprehensive knowledge of messaging queue concepts.Key ResponsibilitiesLead the design, development, and maintenance of scalable web applications and data pipelines.Collaborate with product managers, designers, and engineers to gather requirements and translate them into technical specifications.Write clean, maintainable, and efficient code adhering to best practices and coding standards.Conduct code reviews to ensure compliance with best practices and high coding standards while providing constructive feedback to team members.Troubleshoot and debug applications to enhance performance and resolve issues.Engage in the entire software development lifecycle, including planning, development, testing, and deployment. Participate in architectural discussions and decision-making processes to shape our technology stack's future.Stay informed about emerging technologies and industry trends, assessing their potential impact on our products and services.Contribute to the evolution and enhancement of engineering processes, tools, and methodologies.

About UsAt Verve Group, we have revolutionized the advertising landscape by providing a more efficient and privacy-conscious approach to purchasing and monetizing ads. Our innovative ecosystem combines demand and supply technologies, integrating data, media, and technology to achieve remarkable growth and results for both advertisers and publishers worldwide. With 30 global offices and a commitment to serving pioneering advertising clients, our solutions are trusted by over 90 of the top 100 advertisers in the United States and 4,000 publishers globally. Discover more at www.verve.com.About YouWe are seeking a talented Senior Data Engineer to join our dynamic Data Processing team at Verve. This team is integral in designing and maintaining both scalable real-time and batch data processing pipelines that facilitate high-quality insights and analytics. You will collaborate closely with our Data Analytics and Data Science teams to ensure seamless data flow across the organization.In this role, you will be responsible for developing and optimizing data processing workflows, ETL pipelines, and streaming solutions. Attention to detail, efficiency, and high-quality output are crucial, as you will be reporting to the Engineering Manager for Data Processing.If you are passionate about big data technologies, real-time data processing, and enhancing large-scale ETL workflows, we would love to connect with you!This is a hybrid role requiring three days per week in our Bengaluru office.Key ResponsibilitiesDesign, develop, and maintain scalable, efficient, and cost-effective data pipelines for both real-time and batch processing.Create high-performance ETL workflows utilizing Kafka, Apache Spark, and Scala.Implement best practices for data modeling, storage, and retrieval to ensure high availability and reliability.

Founded in 2007, Airbnb has transformed the way people travel and connect with communities globally. With over 5 million hosts welcoming more than 2 billion guests across nearly every country, we provide unique stays and experiences that foster authentic connections.The Community You Will Join:The BizTech team plays a vital role in Airbnb's operations, managing critical data related to Tax compliance, Payments, and Legal regulations. We also oversee application data for key tools like CRM, Jira, and Workday. Joining us means collaborating with cross-functional stakeholders, designing scalable solutions, and contributing to an exceptional data engineering environment focused on quality and robust practices.The Difference You Will Make:We seek a hands-on expert to lead the way in addressing BizTech’s diverse data engineering requirements while driving long-term strategies and best practices. This pivotal role involves strong collaboration and influence across teams. You will be instrumental in grasping business needs, identifying suitable data sources, designing efficient data models, and constructing reliable, scalable data pipelines. As technology evolves, you will help maintain and shape significant aspects of BizTech’s data ecosystem. Your contributions will not only tackle complex business challenges but also enhance Airbnb’s Data Engineering Paved Path, benefiting our entire data community.A Typical Day / Responsibilities:Lead the design, implementation, and testing of data systems, from architecture to production.Build batch and real-time data systems that support business needs and critical products.Ensure the quality, performance, and stability of data systems through rigorous monitoring and quality assurance practices.Design and optimize data models to effectively fulfill business and product requirements.Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.Maintain strong partnerships with backend, data science, and machine learning teams for seamless integration of data systems.

Join Our Team as a Senior Data Engineer!Are you passionate about data engineering and AI? At Brillio, we are seeking a talented Senior Data Engineer to help us transform the way organizations leverage data. In this role, you will design and implement scalable data solutions, ensuring high-quality data flow and architecture. Collaborate with cross-functional teams to build data pipelines that drive insights and support business decisions. If you're ready to take your career to the next level and make an impact, we want to hear from you!

Join Our Team as a Senior Data Engineer!At Brillio, we are seeking a talented and experienced Senior Data Engineer to join our dynamic AI & Data Engineering department. In this role, you will be responsible for designing and implementing robust data pipelines, ensuring data quality, and leveraging advanced analytics to drive business insights. If you're passionate about data and want to make an impact in a fast-paced environment, we want to hear from you!

Senior Data EngineerJoin Brillio as a Senior Data Engineer and leverage your expertise in data engineering to lead innovative projects. You will work with cutting-edge technologies to design and implement systems that enhance data management and analytics capabilities. Collaborate with cross-functional teams to transform data into actionable insights and drive strategic decisions.

Join us in a thrilling phase of technology as we revolutionize the data storage industry. At PureStorage, you’ll engage in innovative thinking, evolve with us, and collaborate with some of the brightest minds in the sector.This is the kind of transformative work that defines the tech industry. If you're eager to embrace limitless opportunities and make a meaningful impact, we invite you to be part of our journey.THE ROLEWe are on the lookout for a talented and proactive Senior Finance Data & Analytics Engineer (Individual Contributor role) who will spearhead the design and development of the Finance Data Cube. This initiative aims to provide enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other essential financial metrics.WHAT YOU'LL DODesign, construct, and manage the Finance Data Cube, integrating diverse financial, customer, and operational datasets.Model data to facilitate insights into CLTV, Contribution Margin, and other profitability KPIs across various dimensions (customer, product, line of business, geography, etc.).Act as a data architect for Finance, unifying disparate data to answer critical business questions.Utilize AI tools to automate data summarization, anomaly detection, and generate narrative insights for Finance stakeholders.Enhance data infrastructure to accommodate large volumes and intricate financial models.Translate complex financial concepts and KPIs into scalable, maintainable data models.Establish robust controls for data quality, lineage, and governance.Maintain clear documentation of data transformations, metric definitions, and AI model logic.This position is primarily on-site, and you will be expected to work from our Bangalore office in accordance with Pure's policies, except when on approved leave or work travel.

WNS Global Services is looking for a Data Scientist in Bangalore with strong skills in Python, PySpark, and Databricks. This position focuses on analyzing large and complex data sets, building predictive models, and improving data pipelines within an Azure cloud environment. What you will do Analyze diverse and complex data sets to extract actionable insights Develop predictive models to support business decisions Optimize and maintain data pipelines using Python, PySpark, and Databricks Work within a cloud-based setup on Azure Requirements 4 to 6 years of experience as a data scientist or in a related analytics role Hands-on expertise with Python, PySpark, and Databricks Experience working in cloud environments, especially Azure This role is based in Bangalore and focuses on using data to support business decisions and drive data initiatives.

About WPP Media WPP is the creative transformation company. We harness the power of creativity to build brighter futures for our people, planet, clients, and communities. Discover more at wpp.com. WPP Media is WPP’s global media collective. In a world where media permeates every aspect of life, we unite the best platforms, talent, and partners to unlock limitless growth opportunities. Learn more at wppmedia.com. At WPP Media, we celebrate the strength of our culture and our people, which empowers us to provide exceptional experiences for our clients and each other. To excel in this role, you must embody WPP and WPP Media’s shared core values: Be Extraordinary by leading collectively to inspire transformational creativity. Create an Open environment by balancing people and client experiences through cultivating trust. Lead Optimistically by championing growth and development to mobilize the enterprise.

Zimperium® stands at the forefront of mobile security, dedicated to safeguarding the modern mobile enterprise. Our AI-powered platform offers real-time, on-device protection for mobile applications and devices, earning the trust of leading organizations and governments worldwide. We enable organizations to proactively defend against evolving threats, including mobile-targeted phishing (mishing), malware, application vulnerabilities, and zero-day exploits. Our mission is to empower organizations to navigate the dynamic digital landscape securely and with confidence.As the first and only company to deliver a comprehensive mobile threat defense system, Zimperium offers world-class protection against both known and unknown advanced mobile cyberattacks and malware.Utilizing our award-winning, machine learning-based engine, we protect against device, network, phishing, and application attacks across iOS, Android, and Windows devices, all while maintaining user privacy with a non-intrusive approach.In response to our rapid growth, we are seeking a Senior Python Engineer to join our team. You will play a pivotal role in establishing a robust engineering discipline, integrating software and systems to develop innovative solutions for both development and operational challenges.Location: Bangalore, India (Hybrid)Your role will involve building infrastructure, streamlining processes, and enhancing workflows through automation. You will collaborate with a team of inquisitive problem solvers, each bringing diverse perspectives, to tackle significant challenges. In this supportive environment, you will lead impactful projects while receiving mentorship to foster your professional growth.

Join Reltio as a Senior Engineer and play a pivotal role in revolutionizing data management. We are seeking a highly skilled engineer who is passionate about building innovative solutions that empower businesses to leverage their data effectively. You will be part of a dynamic team that values creativity, collaboration, and a commitment to excellence.

hmgroup seeks a Senior Software Engineer with strong Python expertise for its Bangalore office. This role centers on developing and maintaining software solutions that support the company's ongoing projects. Key responsibilities Design, build, and maintain software using Python. Work with teams from various disciplines to ensure software aligns with business objectives. Prioritize improvements to user experience and system performance. Collaboration Frequent collaboration with colleagues from different functions is essential. The goal is to deliver reliable and effective software that meets project needs.

Join OnePay as a Data EngineerAt OnePay, we are revolutionizing the way Americans manage their finances. Our mission is to fix the broken financial system by providing innovative solutions that minimize fees, maximize returns, and create more opportunities for growth.As a comprehensive financial services platform, we integrate banking, high-yield savings, credit cards, point-of-sale lending, investing, and cryptocurrency into a single user-friendly platform. We collaborate with employers, human capital management providers, and gig platforms to deliver seamless financial services to millions.With backing from Walmart, the world's largest retailer, and Ribbit Capital, a leading name in fintech investing, we possess the scale and resources to redefine financial services.At OnePay, we operate at a fast pace to meet our customers' needs. We seek talented individuals who are:Proactive and eager to take initiativeDriven by a sense of urgencyHighly skilled and humbleAdaptable and comfortable in a dynamic environmentYour RoleAs a Data Engineer at OnePay, you will play a crucial role in developing and maintaining our data transformation pipelines and reporting infrastructure. Your contributions will directly support our strategic vision by writing, reviewing, and deploying code, while collaborating with Engineering, Product, Compliance, and Customer Support teams.Key responsibilities include:Constructing and overseeing OnePay's data infrastructure.Developing and managing our streaming data transformation pipeline.Administering and supporting reporting and analytics tools.Collaborating closely with Data Analysts and Data Scientists.Defining and tracking performance metrics.Performing additional tasks as assigned by management.Your Qualifications5+ years of relevant experienceProficiency in Databricks, Apache Spark, Scala, Python, SQL.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Experience with data visualization tools is a plus.

About Us:At Novo, we empower small businesses, freelancers, and entrepreneurs with cutting-edge banking solutions designed to help them thrive. As a key player in the small business banking revolution, we are committed to reshaping the financial landscape for modern entrepreneurs. We believe that small businesses are vital to the economy, and we provide them with the tools necessary to maximize their potential and achieve their financial aspirations.Role Overview:We are seeking an experienced Senior Fraud Analyst to join our dynamic team. In this role, you will play a crucial part in identifying and mitigating fraud risks by conducting thorough investigations and analyses.Key Responsibilities:Conduct daily reviews of fraud alerts and investigate complex fraud patterns in financial transactions.Utilize SQL and various analytical tools to extract and manipulate data for effective fraud detection.Focus on fraud prevention across ACH, Checks, Wires, etc., adhering to established SLAs and company policies.Review queued transactions for manual decision-making, such as canceling or approving transactions as necessary.Minimize risks to both the business and customers through robust process controls and fraud detection strategies.Perform detailed investigations and manual ID verifications for end-users seeking access to additional services.Investigate internal fraud and potential fraud reported by partner financial institutions, creating actionable plans in compliance with policies.Challenge existing practices by proposing innovative fraud prevention ideas and controls.Collaborate effectively with stakeholders across various departments to implement preventive measures against fraud.Embrace ownership of responsibilities, ensuring thorough and proactive management of fraud-related tasks.

Senior Lead Data EngineerJoin Brillio as a Senior Lead Data Engineer where you will spearhead innovative data engineering projects leveraging cutting-edge technologies. Your role will be pivotal in designing and implementing robust data solutions that drive business insights and enhance decision-making processes. Collaborate with cross-functional teams to gather requirements, develop data pipelines, and ensure data integrity while adhering to best practices in data management.

About HevoHevo is an innovative No-code Data Pipeline platform dedicated to empowering data analytics for over 2000 companies, including notable names like Deliverr, Neo4J, and Groww. With a robust investment of $42 million from Sequoia India and Chiratae Ventures, we have experienced a remarkable 20-fold growth in our customer base within just two years. As we embark on the next phase of our journey, we are focused on achieving ambitious revenue targets in our hyper-growth phase.About the RoleAs a Senior Sales Engineer at Hevo, you will serve as the technical expert throughout the sales process, collaborating closely with Account Executives to expedite the closure of deals. You will gain a comprehensive understanding of prospective clients' data environments, pinpoint areas for improvement, and effectively showcase how Hevo can address complex data integration challenges at scale.

Role overview Grab seeks a Senior Data Scientist in Bangalore to guide data-driven decisions across the organization. This position centers on using advanced statistical methods and machine learning to explore large, complex datasets. The main objective is to uncover insights that can enhance Grab’s products and services. Key responsibilities Analyze complex data sets with statistical and machine learning techniques Develop predictive models that align with business objectives Collaborate with teams throughout the company to identify optimization opportunities and generate new ideas Convert data analysis into clear, practical recommendations Collaboration This role works closely with cross-functional teams, helping to identify areas for improvement and support innovation across Grab’s services.

About Easyship:Easyship is a pioneering multi-carrier shipping software designed to simplify global eCommerce, making it accessible for businesses of all sizes. Since our inception in 2014, we have been dedicated to demystifying logistics by eliminating the complexities and hidden costs associated with international shipping. Trusted by over 100,000 brands worldwide, our platform serves as a unified 'mission control' for global commerce, providing access to over 550 courier services across more than 200 destinations.We are a globally recognized team, honored by Forbes 30 Under 30 and named one of TechInAsia’s Best Startups. With offices in London, New York, Hong Kong, and more, we are rapidly expanding. At Easyship, we embrace transparency and take pride in building the infrastructure that fuels modern commerce. If you are eager to tackle intricate challenges at scale, we invite you to join our dynamic team.About the Role:As a Senior Data Analyst, you will become an integral part of our agile data team, where you will excel at addressing ambiguous business challenges and clarifying complex issues. Your role will extend beyond mere reporting; you will enhance the organization’s analytical capabilities by interpreting intricate datasets, deriving insights, and transforming them into actionable recommendations for our business teams.In collaboration with key stakeholders, you will uncover the narratives behind the numbers, guiding data-driven decisions through effective storytelling. You will also explore AI-driven techniques and modern data tools to improve workflows, extract deeper insights, and propose innovative solutions previously thought impossible.Additional Information:This full-time role is based in our Bengaluru office (MG Road) and operates on UK collaboration hours (11:00 AM–8:00 PM IST) to ensure smooth cross-regional collaboration.Key Responsibilities:Dashboard/Reporting Strategy & Ownership:Design and implement new dashboards (e.g., KPI, operational metrics) utilizing BI tools.Diagnose and enhance existing dashboards to maintain accuracy and relevance.Refine dashboards to deliver not just data but also context and guidance.Analytics & Insights:Move beyond basic reporting to analyze performance trends, identify root causes, and present actionable recommendations.Data Accuracy & Quality Control:Regularly audit dashboards and data sources to ensure quality and accuracy.