Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.

Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.

Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.

Collaborate with business users to define analytical goals and build Power BI-ready datasets.

Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.

Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.

Build cross-functional reporting, dashboards, and predictive analytics models

Skill

Required / Desired

Amount

of Experience

Experience in enterprise data analytics, engineering, and designing complex ETL workflows. Required 7 Years Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing Required 4 Years Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies Required 7 Years Hands-on experience with PySpark, Python, or Scala Required 6 Years Experience with data modeling, performance tuning, and cost optimization in Azure Required 4 Years Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security Required 3 Years Familiarity with Power BI semantic models and dataflows Required 3 Years Knowledge of Azure OpenAI or generative AI data integration Highly desired 3 Years Ability to organize, prioritize, and follow complex and/or detailed technical procedures Required 7 Years Experience with Agile (Scrum, Kanban, or SAFe) development Required 3 Years