We are seeking Senior AWS Data Engineers with positive 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 architecture
Develop data transformations using SQL and Python
Design and implement data warehouse data model in AWS Redshift
Orchestrate data pipelines using Airflow
Work with Databricks-based data 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 SQL, Python & Pyspark
Solid understanding of data modeling and analytics data structures.
Working experience with Databricks, including: Delta Lake, Databricks SQL.
Experience working with AWS data services (S3, Lambda, Glue, Redshift, etc.)
Experience with workflow orchestration tools such as MWAA or Airflow

Positive to have:
Experience with GitHub, Terraform, and Jira

📌 Senior Aws Data Engineer Hyderabad
🏢 RDSolutions India
📍 Hyderabad