Senior Consultant | AWS Data Engineering | Mumbai | Engineering | Data Modernization & Migration
Deloitte (company site, opens in a new tab)5–10 yrsMumbaiRemoteDirect career pageEst. 18–35 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About 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.