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

:

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:

- Robust 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 protected]

📌 Aws Data Engineer (Bengaluru)
🏢 Ambiquest Hyderabad
📍 Bengaluru