Key Skills: Pyspark, AWS Cloud, Data architecture, Databricks, SQL, Python, GitHub, Terraform, Jenkins

Roles and Responsibilities:

- Lead the roadmap and architectural direction for scalable cloud-based data engineering solutions on AWS and Databricks.
- Design and implement data architecture aligned with enterprise standards, ensuring maintainability and operational readiness.
- Build and optimize data workflows using PySpark, Python, and SQL to support analytics and reporting use cases.
- Drive engineering execution with solid governance, including peer code reviews and release readiness for production pipelines.
- Leverage DevOps tooling and infrastructure automation to streamline delivery and reduce manual intervention.

Skills Required:





- 14 - 20 years of experience in application program development and data engineering.
- PySpark for large-scale data processing and analytics workloads.
- AWS Cloud hands-on experience for building and operating data services.
- Python and SQL for data engineering, transformation, and analytics enablement.
- Databricks for lakehouse development and production data pipeline delivery.

Good to Have:
- Jenkins for CI/CD automation.
- Terraform for infrastructure as code.
- GitHub for source control and collaboration.

Education: Bachelor's degree in Engineering, Computer Science, or related discipline.

📌 Data Engineering Senior Manager (Hyderabad)
🏢 MyCareernet
📍 Hyderabad