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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable and governed data pipelines and semantic-layer data products (datasets, models, storage, Power BI-ready semantic models).
Partner with business stakeholders and analytical teams to define goals, KPIs, and ensure data assets support decision-making and reporting.
Troubleshoot production data quality issues and create documentation for data products; support data scientists and other analysts by collecting and cleaning data.
Minimum Requirements
Degree required in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field.
Proficiency with modern data technology stack (e.g., Databricks, Azure Synapse, Fabric).
Advanced SQL skills; intermediate to advanced Python (PySpark knowledge a plus); experience with big data frameworks like Apache Spark or Hadoop.
Experience with data pipeline and workflow management tools (e.g., Airflow, Azure Data Factory); strong analytical and project management skills.
Ideal Candidate Profile
Experienced in building scalable data workflows integrating data engineering and analytics for business insights.
Comfortable working independently and collaborating across cross-functional teams including data scientists and stakeholders.
Skilled in translating complex business requirements into technical specifications with effective documentation and governance focus.