T&T - Engineering - Consultant - AWS SAS Data engineer - Multiple Location
Deloitte (company site, opens in a new tab)AhmedabadOn-siteDirect career pageEst. 8–18 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines and data architecture within AWS ecosystem using PySpark and AWS services.
- Execute complex data migrations from legacy SAS systems to modern cloud architectures ensuring data integrity and optimized performance.
- Collaborate with cross-functional teams to deploy cloud-native data solutions focusing on security, reliability, and cost-efficiency.
Minimum Requirements
- Experience with PySpark and AWS services including Glue, EMR, S3, Redshift.
- Experience in data migration and handling legacy SAS environments.
- B.Tech/BE in Computer Science or Information Technology.
- Work Model: Hybrid with mandatory 3 days onsite; Location: Any location in India (preferably Pune).
Ideal Candidate Profile
- Strong expertise in AWS cloud data services and distributed computing frameworks (PySpark).
- Proven experience in migrating and integrating legacy SAS data systems to cloud-native architectures.
- Familiarity with DevOps, CI/CD pipelines, and workflow orchestration tools like Apache Airflow or AWS Step Functions in a regulated environment.