Lead Engineer, Data Engineer, Data Warehousing

We are seeking a Data & ETL Testing Lead to drive quality across enterprise data pipelines, data warehouses, and analytics platforms. This role focuses on validating ETL processes (extraction, transformation, loading), ensuring data accuracy, and building scalable testing frameworks. You will lead a team of testers and collaborate with data engineers, architects, and business stakeholders to guarantee reliable, high-quality data delivery.

Key Responsibilities

Lead the design and execution of ETL and data testing strategies across multiple projects.

Validate data extraction, transformation, and loading (ETL) processes across diverse sources and targets.

Develop and maintain automation frameworks for ETL and data validation.

Perform data profiling, reconciliation, and integrity checks to identify anomalies.

Collaborate with engineering teams to embed testing into CI/CD pipelines (Azure Dev Ops, Jenkins, Airflow).

Partner with business teams to ensure data quality aligns with reporting and analytics needs.

Mentor and guide QA/QE professionals in modern ETL and data testing practices.

Ensure compliance with data governance, security, and regulatory standards.

Required Skills & Experience

Strong knowledge of ETL concepts, data testing, data warehouses, and data lakes.

Hands-on experience with ETL tools (Informatica, Talend, SSIS, or equivalent).

Proficiency in SQL for ETL validation and reconciliation.

Experience with Python and libraries such as Pandas, Num Py, and SQL Alchemy for data manipulation.

Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).

Expertise in CI/CD pipelines for ETL and data testing.

Understanding of data quality frameworks and best practices.

Excellent analytical, problem-solving, and communication skills.