1. 5+ years of experience in data engineering or data pipeline development
2. Strong experience with PySpark, Hadoop, and distributed data processing frameworks
3. Hands-on experience with Apache Airflow for at least 2 years, including DAG development and job orchestration
4. Solid knowledge of ETL/ELT techniques and best practices
5. 2+ years of experience working with AWS, specifically S3, Postgres, and cloud-native data workflows
6. Proficiency in SQL and scripting (Python preferred)
7. Solid communication and collaboration skills, with a track record of working effectively across global teams and time zones
8. Experience with SAP data, particularly in finance modules (GL, AP/AR, fixed assets, CO), is a plus
Mandatory Skills
Pyspark, Hadoop, Python and SQL
Client
Financial
Vendor Proposed Rate (as per ECMS system)
8160 INR/day
Work Location
Client location, Nanakramguda, Hyderabad
Hybrid
3 days/ week – Work from Office
BGV Pre/Post onboarding
Pre Onboarding
If it's pre-onboarding, Interim or final BG report
Final BG report
📌 Data Engineer (India)
🏢 Clifyx
📍 India
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