Aws Data Engineer

We are hiring for the position of Data Engineer for one of our reputed clients.

Please find the job details below and confirm your interest by sharing your updated resume.

Position: Data Engineer
Location: Bangalore
Experience: 5-10 Years

Job Description:

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS, Snowflake, Spark/PySpark, Python, SQL, and Airflow. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and enterprise data platforms.

Key Responsibilities:

• Design, develop, and maintain scalable batch and streaming data pipelines.
• Build and optimize ETL/ELT workflows using AWS, Snowflake, Spark/PySpark, Python, and SQL.
• Develop and maintain data lake, lakehouse, and data warehouse solutions.
• Implement workflow orchestration using Apache Airflow/Astronomer.
• Optimize Snowflake queries, workloads, storage, and compute utilization.
• Implement data quality checks, monitoring, governance, and security controls.
• Develop incremental data processing and data integration solutions.
• Support CI/CD, Git, Infrastructure as Code, automated testing, and deployment activities.
• Troubleshoot production issues and ensure pipeline reliability and performance.
• Collaborate with architects, platform engineers, and business stakeholders to deliver scalable data solutions.

Mandatory Skills:

• Strong hands-on experience in AWS Data Engineering.
• Experience with Snowflake and Snowflake data pipelines.
• Strong programming skills in Python and SQL.
• Hands-on experience with Apache Spark/PySpark.
• Experience developing ETL/ELT pipelines.
• Experience with Apache Airflow/Astronomer.
• Understanding of data lake/lakehouse architecture and data modeling.
• Experience with Git, CI/CD, and data pipeline monitoring.

Good to Have:

• Kafka and real-time data processing.
• Terraform or other Infrastructure as Code tools.
• Data governance, data lineage, and metadata management.
• GenAI, Agentic AI, LLM, MCP, or RAG exposure.
• Retail, eCommerce, Supply Chain, or Customer Analytics domain experience.
• Power BI and semantic models.

Experience & Qualifications:

• 5-10 years of relevant Data Engineering experience.
• Bachelor's degree in Engineering or a related discipline.
• Experience delivering production-grade enterprise data pipelines and data platforms.

Please confirm the following details:

1. Total Experience:
2. Relevant AWS Experience:
3. Relevant Snowflake Experience:
4. PySpark Experience:
5. Python Experience:
6. SQL Experience:
7. Airflow/Astronomer Experience:
8. Current CTC:
9. Expected CTC:
10. Notice Period / Last Working Day:
11. Current Location:
12. Updated Resume:

Kindly confirm your interest and share the above details along with your updated resume to [email removed]