Spark SQL Developer
6 days ago
Roles and Responsibilities
- Collaborate with cross-functional teams to gather requirements and design ETL processes for extracting, transforming, and loading (ETL) of large datasets from various sources into the target database.
- Develop complex SQL queries to optimize performance of existing databases and troubleshoot issues related to query execution times.
- Provide production support by monitoring system logs files and performing root cause analysis on errors encountered during runtime.
- Participate in code reviews to ensure adherence to coding standards and best practices.
- Design, develop, test, deploy, and maintain large-scale data warehouses using AWS services such as S3, Redshift, Glue, etc.
Desired Candidate Profile
- 3-5 years of experience in Data Warehousing with expertise in Spark SQL development.
- Strong understanding of AWS services including S3, Redshift, Glue, Lambda functions etc. .
- Proficiency in writing complex SQL queries for optimizing database performance.
- Experience working on ETL processes using Python programming language.
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