KUBRA

Data Engineer

• Design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and dbt to support BI solutions
• Develop and manage data infrastructure across SQL Server and AWS environments
• Support migration of on-premise systems to AWS cloud platforms
• Maintain and optimize SSIS packages and existing data workflows
• Design and implement data models (e.g., star schemas) optimized for reporting and analytics
• Partner with BI Analysts using tools such as Power BI/Tableau to deliver client reporting and data-driven insights
• Automate manual data processes using Python and SQL to improve efficiency and data quality
• Document data pipelines, models, and infrastructure across AWS, SQL Server, and Databricks environments
• Collaborate with Product, BI, and Engineering teams to support BI product development leveraging Snowflake, Redshift, or Databricks
• Stay current with emerging data and BI technologies including Kafka, Spark, dbt, and cloud-native tools
• Participate in client-facing sessions when needed (design discussions, presentations, training), showcasing solutions built on AWS and modern data platforms