Location: Hyderabad (On-site)
Experience: 8+ Years
Shift: US Night Shift
We are looking for an experienced Senior Data Engineer to join our engineering team. The ideal candidate should have strong expertise in designing and building scalable cloud-native data platforms, modern ETL/ELT pipelines, and data lakehouse architectures.
Key Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines.
- Build and maintain data lakehouse solutions using Databricks and Delta Lake.
- Develop high-performance data processing applications using PySpark and SQL.
- Implement cloud-based data engineering solutions on AWS.
- Automate infrastructure deployment using Terraform.
- Orchestrate workflows using Apache Airflow.
- Ensure data quality, governance, reliability, and performance.
- Collaborate with cross-functional teams to deliver scalable data solutions.
- Leverage AI-assisted development tools to improve engineering productivity.
Mandatory Skills
- 8+ years of experience in Data Engineering.
- DBT
- Databricks
- AWS
- Terraform
- PySpark
- SQL
- ETL/ELT
- Delta Lake / Apache Iceberg
- Apache Airflow
- Amazon EMR
- Solid understanding of Data Lakehouse Architecture.
Preferred Skills
- Experience with AI-powered development tools such as Cursor AI, GitHub Copilot, Claude Code, or similar AI coding assistants.
- Experience with CI/CD and Infrastructure as Code.
- Strong analytical and problem-solving skills.
Employment Details
- Location: Hyderabad
- Work Mode: On-site
- Shift: US Night Shift
To Apply
Please share your updated resume along with the following details:
- Total Experience
- Relevant Experience
- Notice Period
- Current CTC
- Expected CTC
- Current Location
- Preferred Location
- Experience in DBT, Databricks, AWS, Terraform, SQL, PySpark, ETL/ELT, Delta Lake, Airflow, and EMR
- Comfortable working in the US Night Shift (Yes/No)
Pay: ₹100,000.00 - ₹200,000.00 per month
Work Location: In person
📌 Senior Data Engineer (Hyderabad)
🏢 TGS The Global Skills
📍 Hyderabad
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