JD: AWS Data Engineer

Exp.: 5+ years

Work Location: Hyderabad

Work Timing: 2 PM to 11 PM

Work Mode: WFO

Notice Period: Immediate

JOB SUMMARY:

We are seeking a Data Engineer to ensure the reliability, accuracy, performance, and scalability of our data platforms and pipelines. This role focuses on validating end-to-end data ingestion, processing, streaming, and analytics workflows built on AWS, Kafka, SQL, Data Bricks and Python.

You will work closely with Data Engineers, Platform Engineers, Analytics teams, and DevOps to embed quality into the data lifecycleensuring trusted data, resilient pipelines, and production- ready systems.

KEY RESPONSIBILITIES:

1. Validate batch and streaming data pipelines for correctness, completeness, consistency and timeliness.

2.



Create and maintain data quality checks (nulls, duplicates, schema drift, referential integrity).

3. Verify business rules and transformations using SQL-based validations.

4. Design, develop, and execute test strategies for Databricks-based data pipelines and analytics workflows

5. Establish data reconciliation and end-to-end traceability between source and downstream systems.

6. Test ETL/ELT pipelines built using AWS services (Glue, Lambda, EMR, Step Functions).

Interested candidates please share me the resumes to [email protected]

📌 Aws Data Engineer (Hyderabad)
🏢 Crew Kraftorz
📍 Hyderabad