Senior Consultant | AWS Data Engineering | Mumbai | Engineering | Data Modernization & Migration
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Data-driven signals on your job's competitivenessTier-1 brand, remote role, popular data-engineer title, and Mumbai metro raise candidate competition.
Core data engineering skills are transferable, though BFSI expertise increases preference for domain experience.
Explicit 5–10 years and many mandatory AWS, PySpark, Iceberg, and data pipeline skills required.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise Data Lakes on AWS using services like S3, Glue, EMR, and Athena.
Develop and optimize Spark (PySpark) applications for performance, cost efficiency, and scalability on Amazon EMR.
Collaborate with business users and technical teams to support enterprise analytics, regulatory reporting, data quality, and governance compliance.
Minimum Requirements
5–10 years of experience in Data Engineering with strong expertise in AWS Data Services.
Hands-on experience with PySpark development on EMR and SQL query writing/optimization.
Bachelor's degree in Engineering (B.E/B.Tech).
Experience with Apache Iceberg tables, data lake architecture, and developing production-grade ETL pipelines.
Ideal Candidate Profile
Experienced in Banking and Financial Services (BFSI) domain, preferably with Finacle or Core Banking data models and regulatory reporting knowledge.
Proficient in agile/scrum development environments and enterprise data warehouse migration projects.
Holds relevant certifications like AWS Certified Data Engineer or Solutions Architect, and possibly Spark/Databricks certifications.