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
- Strong 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

Good to have:

- Experience with GitHub, Terraform, and Jira

📌 Senior AWS Data Engineer (Hyderabad)
🏢 RDSolutions India
📍 Hyderabad