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The SQL Engineer role involves developing and maintaining ETL/ELT pipelines, optimizing SQL scripts, and ensuring data accuracy within Azure or Snowflake environments. Candidates should have a minimum of 9 years of experience in Software Engineering, Data Engineering, or Data Analytics, with at least 3 years in a leadership capacity. Proficiency in programming languages such as Python, Java, and Scala is essential. The position requires collaboration with Product Owners and adherence to data governance best practices.
Job Responsibility:
Develop and maintain ETL/ELT pipelines to transform raw data into curated data products within Azure or Snowflake environments
Create and optimize SQL stored procedures, scripts, and scheduled jobs for data processing and automation
Implement data cleansing, validation, and enrichment logic to ensure accuracy and reliability
Build and maintain database views and query layers to support analytics and reporting teams
Collaborate with Product Owners to translate business requirements into technical specifications
Ensure adherence to data governance, security, and performance best practices
Provide knowledge transfer and documentation for all developed processes and objects
Requirements:
9+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
3+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions
Ability to travel at least 25%
Proficiency in Python, Java, Scala
Experience with Azure, Snowflake, Cloudera, Databricks, AWS
Design and implement tailored data solutions
Provide thought leadership
Generate comprehensive solution documentation
Adhere to Agile practices
Design, build, and deploy databases and data stores
Nice to have:
Demonstrate production experience in core data platforms