Technical LEAD DATA Engineering
Posted
Summary
Lead data engineering role in Hyderabad (hybrid, 9-12 yrs) designing scalable batch and streaming pipelines with AWS Glue, PySpark, Python and SQL across Oracle, MongoDB, DynamoDB and RDS/Aurora PostgreSQL. Includes Terraform/ECS infra, CI/CD with GitHub/Jenkins, mentoring engineers, and AI-assisted development; US healthcare payer domain exposure preferred.
Role & responsibilities :-
WE ARE HIRING | TECHNICAL LEAD DATA ENGINEERING
Location: Hyderabad
Work Mode: Hybrid
Experience: 9–12 Years
Mandatory Skills:
- AWS Glue & PySpark – Expert hands-on experience
- Python & SQL – Strong proficiency
- Databases: Oracle, MongoDB & DynamoDB
- Aurora PostgreSQL, RDS & Stored Procedures
- Data Integration: ETL/ELT, Batch & Streaming Pipelines
- Error Handling, Retry & Replay Patterns
- Data Modeling, Performance Tuning & Multi-Terabyte Data Processing
- ECS & Terraform – Mandatory
- GitHub, Jenkins, GitHub Actions, IAM & Encryption
- AI-Assisted Development: Cursor, Claude Skills & Devin AI
Key Responsibilities:
- Lead the design and development of scalable data pipelines using AWS Glue and PySpark.
- Manage batch and streaming data integration, data quality, and pipeline reliability.
- Optimize SQL queries, stored procedures, and database performance.
- Lead technical design reviews, code reviews, and production troubleshooting.
- Mentor engineers and drive engineering best practices.
- Leverage AI tools responsibly for development, testing, and data analysis.
Preferred Skills:
- US Healthcare / Payer domain experience.
- Knowledge of HL7, FHIR, X12 EDI.
- Exposure to AWS Athena, Redshift, Kinesis, EMR, or Apache Airflow.
- AWS Data Engineer or Data Analytics certifications.
Interested candidates, please share your updated resume:
Email: nagurbi@timecodeglobal.com
WhatsApp: 9100096365