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 strong 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.
Positive 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_102290 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad