We are seeking a Senior Data Engineer to lead the transition of existing data pipelines to a target data platform, leveraging Databricks and AWS services.
Key Responsibilities:
Partner with the Databricks team to plan and execute pipeline transitions
Drive implementation of repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring
Ensure pipelines support long-term platform consistency, reliability, observability, and ease of support
Guide the design and operation of cloud-native data pipelines using AWS services such as S3, Glue, Lambda, Kinesis, and Lake Formation
Promote secure access to platform resources and data products using IAM, encryption, and environment-level controls
Support lakehouse technologies and concepts such as Delta Lake, Apache Iceberg, and Databricks Unity Catalog
Requirements:
8+ years of experience in data engineering, data platforms, or related domains
Proven ability to drive technical initiatives and influence engineering outcomes
Experience with Databricks-based data platforms and AWS cloud-native data engineering
Strong familiarity with technologies such as Delta Lake, Apache Iceberg, and lakehouse architecture
Experience with AI tooling and LLM-enabled engineering
Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (47% of 1163 that say).
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Questions about this job
What is the salary for this Senior Data Engineer - Data Pipeline Transition and Platform Delivery job?
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹7.5L – ₹23L a year (typical for IT Jobs in Hyderabad, 65 posts).
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Senior Data Engineer - Data Pipeline Transition and Platform Delivery
Hyderabad
1
Full time
Hybrid
8+ years
₹7.5L – ₹23L a year (estimate, typical for IT Jobs in Hyderabad, 65 posts)