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Tier-1 Big Four, Bangalore metro, mid-level data-engineer title, and 3–6 years experience increase competition.
Data engineering skills (ETL, Airflow, Databricks, cloud) are broadly transferable across industries.
Explicit four-year minimum with preferred tooling optional, causing moderate shortlisting strictness.
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Develop and automate ETL processes using Apache Airflow and Azure Data Factory to enhance data integration and transformation.
Design and maintain data pipelines, data lakes, and optimize databases using AWS, Microsoft Azure Databricks, and performance tuning techniques.
Collaborate with cross-functional teams to address data challenges, validate data quality, and deliver client-driven data solutions while mentoring junior team members.
Bachelor's degree required.
Minimum 4 years of relevant work experience.
Proficiency in oral and written English.
Experience with ETL automation tools (Apache Airflow, Azure Data Factory), cloud platforms (AWS, Azure Databricks) is necessary.
Has strong expertise in data engineering with experience in cloud-based data architectures and automation using Apache Airflow and Azure Data Factory.
Comfortable working in ambiguous, client-facing environments with ability to anticipate and address complex data challenges.
Capable of leading and mentoring junior engineers while driving innovative data modernization initiatives.