Designation : Senior Analyst - Data Engineering

Level : L2

Location : Bengaluru, Karnataka , India

Experience : 4-6 Years

Job Role :

Senior Data Engineer with expertise in SQL, Snowflake, Python, Pyspark, AWS Glue to contribute to the development of robust and productive Data Pipelines.

Responsibilities :

* Design, develop, and maintain scalable data pipelines using AWS Glue and Snowflake.

* Develop ETL/ELT workflows to ingest and transform data from multiple source systems.

* Build and optimize Snowflake databases, schemas, tables, views, and SQL transformations.

* Implement data quality, validation, error handling, and monitoring across data pipelines.

* Optimize Snowflake queries, warehouse usage, and pipeline performance for cost efficiency.





* Integrate AWS services such as S3, Glue, Lambda, and CloudWatch for end-to-end data processing.

* Collaborate with business, analytics, and engineering teams to deliver reliable, business-ready datasets.

Required skills :

Snowflake, Python, Pyspark, AWS, AWS Glue, SQL, Data Lake, Data Warehousing

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Analyst - Data Engineering (Bengaluru)
🏢 Latentview
📍 Bengaluru