Qualifications
Key ResponsibilitiesEnhance data quality by cleansing and standardizing data across operational systems and newly onboarded sources.Design and optimize robust ETL/ELT pipelines using Python, SQL, and Airflow.Develop and refine data models, transformations, and tables within Snowflake.Build scalable data ingestion workflows leveraging APIs, flat files, and database connectors.Conduct thorough data profiling to identify anomalies and quality gaps, implementing proactive resolutions.Ensure data validation, reliability, governance, and performance across all pipelines.Utilize modern data integration and quality tools like Deequ, Great Expectations (GX), Splink, Fivetran, Workato, and Informatica for data onboarding and validation.Adhere to coding standards, version control, CI/CD practices, testing, and operational monitoring.Collaborate with cross-functional teams in a Scrum-based Agile setup.
About the job
Join our dynamic team as a Senior Data Quality Engineer!
In this exciting role, you will work closely with one of Weekday's esteemed clients, contributing to the creation of reliable, scalable, and high-performance data platforms. Your expertise will transform complex and inconsistent data into trusted business assets, ensuring data integrity and governance.
As a key player in a modern cloud-based data stack, you will enable data-driven decision-making at scale within an Agile environment.
About weekday-1
Weekday-1 is dedicated to connecting talented professionals with leading organizations. We pride ourselves on fostering a culture of innovation and excellence, ensuring that every team member contributes to impactful projects.