| 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 - 12 Years |
| Working Model: | Office |
| Shift Timing: | 12 PM – 9 PM / 1 PM – 10 PM |
About the Role
We are seeking Senior AWS Data Engineers with good 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
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