Job Title:Data Engineer
Primary Skill: AWS, DynamoDB, Aurora PostgreSQL, AWS Sagemaker, Spark, Scala/Python,Medallion Architecture
Location: Hyderabad/ Pune/ Coimbatore
Experience: 3 -9 years of experience
Mode of working - 5 Daya work from office
We are looking for an experienced AWS Data Engineer with strong hands‑on expertise in building scalable, reliable data pipelines in a Lakehouse/Medallion architecture. The ideal candidate will have deep knowledge of Spark/PySpark, Terraform, and modern data engineering patterns.

Key Responsibilities
Build and operate data pipelines using PySpark/Spark, SQL, and AWS services.
Implement Medallion (Bronze/Silver/Gold) architecture with proper separation of concerns.
Design incremental processing, SCD Type 2, CDC/merge, and late-arriving/out‑of‑sequence data handling.
Ensure pipelines are idempotent, resilient, and re‑processable.
Manage AWS data infrastructure using Terraform.
Apply solid data quality, deduplication, schema validation, and operational best practices.

Required Skills
Terraform for AWS infrastructure provisioning




PySpark/Spark, Python, Advanced SQL
Lakehouse/Medallion Architecture (Bronze/Silver/Gold)
Type 2 Dimensions, CDC/Merge processing
Incremental & historical processing, deduplication, late-arriving data handling
Idempotency and resilient pipeline patterns
AWS data services (S3, Glue, EMR, Lambda, Step Functions, etc.)
Data modeling fundamentals & data quality mindset

Candidates Must Be Able to Explain
Updates/deletes from relational sources
Deterministic deduplication
Late-arriving/out-of-sequence data handling
Idempotent pipeline design
Merge keys, ordering columns, event time vs ingest time, soft deletes, reprocessing windows

If you are interested in the above role, kindly fill in the details below and share your updated resume here.
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Are you open to working 5 days a week from the office?

📌 AWS Data Engineer Lead (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad