Back
Tier-1 brand, mid-level generalist data role, metro location, and broad skill requirements increase competition.
Core data engineering skills transfer across industries, though financial platform experience moderately increases specificity.
Explicit 5+ years requirement plus mandatory Snowflake, Airflow, dbt, Python and Azure skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, test, deploy, and maintain the Enterprise Data Platform including automating data pipelines and enhancing performance and scalability.
Collaborate with product managers, data owners, platform teams, and stakeholders throughout the software development lifecycle to support and improve data framework components using technologies like Airflow, Python, Snowflake, and dbt.
Provide L2/L3 support for technical and operational issues, conduct end-to-end testing, and contribute to design decisions for complex systems.
Minimum 5+ years experience as a data engineer.
Proficiency in SQL, stored procedures, UDFs, advanced Python programming, and experience with Snowflake or similar cloud-native databases.
Experience with orchestration tools (especially Airflow), declarative transformation tools like dbt, and Azure services (especially ADLS or equivalent).
Bachelor's degree in computer science strongly preferred. Work Location: Mumbai, India; work model requires 4 days in office per week, with 1 day WFH flexibility.
Experienced with modern data engineering tools and best practices including real-time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka).
Comfortable working in an Agile environment with tools like ADO and Aha, able to conduct root cause analysis and performance tuning.
Capable of operating effectively within a matrixed organization and fast-paced environment with strong communication and coordination skills.