Related skills
python power bi pyspark azure data factory sql serverπ Description
- Translate business needs into scalable data engineering solutions with stakeholders.
- Design, develop, and maintain data integration using SQL Server, ADF, Databricks, Fabric.
- Build, manage, and optimize ETL/ELT pipelines with orchestration, scheduling, and monitoring.
- Develop data transformation logic with Azure Databricks and Fabric notebooks for performance and reliability.
- Design ingestion, transformation, validation, and delivery across data sources.
- Modernize legacy SSIS/on-prem ETL to Azure or Fabric architectures, ensuring reliability.
π― Requirements
- 3+ years of experience in data engineering, data integration, or related role.
- 3+ years of experience writing and tuning SQL (T-SQL, stored procedures, views, indexing).
- Experience building ETL/ELT pipelines with Azure Data Factory and/or Fabric Pipelines.
- Hands-on experience with Azure Databricks notebooks, Fabric notebooks, PySpark, Python.
- Strong Microsoft SQL Server relational database design principles.
- Bachelor's degree in Computer Science, IT, Data Analytics, or equivalent.
π Benefits
- Work from home
- Training & development with unlimited Percipio LMS
- Mix of collaborative & independent work
- Community outreach via Anteriad Cares
- Professional mentoring program
- Employee Resource Groups
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