Job Title: Senior AWS Data Engineer
Employment Type: Full Time
Position Location: Hyderabad
Reports to: Delivery Head
Qualifications: BE/B.Tech/MCA Degree in Computer Science, Engineering, or similar relevant field
Total Experience: 8 - 15 Years
Working Model: Office
Shift Timing: 12pm – 9pm / 1pm to 10pm

About the Role
We are seeking Sr. AWS Data Engineers with valuable experience in data engineering, analytical data modeling, and cloud-based data platforms.

Key Responsibilities
• Design and maintain scalable data pipelines and transformation workflows using Databricks Lakehouse architecture
• Build and maintain analytics-ready data models to support reporting and insights
• Develop data transformations using SQL and Python
• Work with Databricks-based data Lakehouse environments to process and manage large datasets
• Ensure reliability and performance of data ingestion, transformation, and processing pipelines




• Collaborate with engineering and analytics teams to support data quality, data governance, and analytics delivery
• Troubleshoot pipeline issues and support improvements in platform stability and performance

Required Skills:
• Data Engineering experience building ETL / ELT pipelines
• Good experience in Python & Pyspark
• Strong understanding of data modeling and analytics data structures.
• Working experience with Databricks, including: Delta Lake, Databricks SQL, Data Lakehouse architecture
• Experience working with AWS data services (S3, Lambda, Glue, Redshift, etc.)
• Experience with workflow orchestration tools such as MWAA or Airflow
• Familiarity with dbt or similar transformation frameworks

Good to have:
• Experience with GitHub, Terraform, and Jira

📌 Sr/Lead AWS Data Engineer (Hyderabad)
🏢 RDSolutions India
📍 Hyderabad