SQL Engineer

• 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

• Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack
• Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure
• Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
• Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS
• Develop and deliver detailed presentations to effectively communicate complex technical concepts
• Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc
• Adhere to Agile practices throughout the solution development process
• Design, build, and deploy databases and data stores to support organizational 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%

Demonstrate production experience in core data platforms