Bengaluru · Mid Level
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Designation : Senior Analyst - Data Engineering
Level : L2
Location : Bengaluru, Karnataka , India
Experience : 2 to 5 years
Job Role :
Senior Data Engineer with expertise in SQL, Snowflake, Python, Pyspark, AWS Glue to contribute to the development of robust and efficient 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
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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