Responsibilities
Designing, building, and maintaining scalable data pipelines and workflows.
Developing and optimizing data ingestion, transformation, and integration processes.
Working with Azure Data Factory and related technologies to build and orchestrate data workflows.
Ensuring data quality and integrity through robust validation and monitoring systems.
Supporting data modeling efforts, including relational and dimensional modeling.
Building reporting and monitoring solutions to ensure efficient and accurate data operations.
Processing, logging, and correlating data from multiple sources to support business needs.
Requirements
Bachelors degree in Computer Science, Engineering, or a related field.
Proficiency in SQL and relational database design.
Robust scripting skills for data/file manipulation (e.g., Python or similar languages).
3+ years of Experience with Azure Data Factory, SQL Server,
or similar tools for data integration and transformation.
Hands-on experience with scalable data systems, including batch and real-time
processing.
Solid understanding of ETL pipelines, data modeling, and Business Intelligence
systems.
Solid knowledge of event processing and workflow orchestration.
Ability to write high-quality, maintainable code and follow best practices in
software engineering.
Excellent problem-solving and debugging skills.
A team player with robust communication skills and a drive for results.
Nice to Have
Experience with cloud platforms, particularly Azure or AWS.
Advanced knowledge of SQL and relational database performance optimization.
Familiarity with tools like Azure Data Lake, Power BI, or similar analytics platforms.