Sr/Lead AWS Data Engineer ( Immediate joiner only)
- Source: LinkedIn
- RDSolutions India
- On-site
- Hyderabad
- Full-Time
- Senior
Job Description
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 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 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
Skills
- amazon-web-services
- azure-databricks
- databricks
- Python
- pyspark
- delta-lake
- amazon-s3
- aws-lambda
- aws-glue
- amazon-redshift
- Airflow
- apache-airflow
- Github
- Terraform
- JIRA
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