Senior Data Engineer (Business Intelligence)
Skills
Computer ScienceDevopsAdoptionData ServicesData WarehousingDatabasesLOOKUP
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Math IT Business or equivalent experience
- Minimum 7 years of experience in data and BI solutions
- Strong hands-on Snowflake experience including T-SQL conversions DDL translation migration frameworks validation and tuning
- Experience converting SSIS packages to Azure Data Factory pipelines
- Ability to establish and configure ADF environments for Pre-Production and Production
- Strong ETL design skills with reusable scalable pipeline frameworks
- Experience with Apache Iceberg storage technology
- Experience building and maintaining Azure DevOps CI/CD release pipelines
- Experience with source control and GitHub-based DevOps processes
- Experience developing and maintaining SSAS cubes using Visual Studio
- Experience migrating SSAS Cubes or Semantic Models to Power BI Semantic Models
- Strong experience acting as a business liaison and delivering technical solutions
- Experience owning the full data life cycle development and phases
- Knowledge of Python Alteryx or similar tools preferred
- Knowledge of Tableau Power BI or other BI tools required
- Understanding of data engineering vocabulary and data architecture
- Experience with Azure DataOps JIRA or Agile tools
- Required
Nice to have
- Mentor
Day to day
- Design and build data pipelines and BI solutions that support CRDM migration tool modernization and EDP adoption to Snowflake.
- Develop reusable scalable ETL and migration frameworks while converting SQL Server processes SSIS packages and semantic models to modern cloud platforms.
- Test validate and troubleshoot data services reports dashboards and downstream feeds while collaborating with business and technical teams to ensure accuracy and governance.