Data Engineer

Summary:
We are seeking a highly skilled Data Engineer (Azure Databricks) to design, implement, and optimize enterprise-grade data pipelines. In this role, you will leverage Azure Databricks, Azure Data Factory, SQL Server, and Python to enable scalable, governed, and performant data solutions. You will play a key role in modernizing our data platform on the Azure Cloud, ensuring reliability, efficiency, and compliance across the full data lifecycle.

Key Responsibilities:

· Data Pipeline Development: Design, build, and optimize ETL/ELT pipelines using Azure Databricks (PySpark, Delta Lake) and Azure Data Factory (ADF).
· Data Flows & Transformations: Develop pipelines, data flows, and complex transformations with ADF, PySpark, and T-SQL for seamless data extraction, transformation, and loading.
· Data Processing: Develop Databricks Python notebooks for tasks such as joining, filtering, and pre-aggregation.
· Database & Query Optimization: Optimize database performance through SQL query tuning, index optimization, and code improvements to ensure efficient data retrieval and manipulation.
· SSIS & Migration Support: Maintain and enhance SSIS package design and deployment for legacy workloads; contribute to migration and modernization into cloud-native pipelines.
· Collaboration & DevOps: Work with cross-functional teams using Git (Azure Repos) for version control and Azure DevOps pipelines (CI/CD) for deployment.
· Data Governance & Security : Partner with governance teams to integrate Microsoft Purview and Unity Catalog for cataloging, lineage tracking, and role-based security.
· API & External Integration: Implement REST APIs to retrieve analytics data from diverse external data feeds, enhancing accessibility and interoperability.
· Automation: Automate ETL processes and database maintenance tasks using SQL Agent Jobs, ensuring data integrity and operational reliability.
· Advanced SQL Expertise: Craft and optimize complex T-SQL queries to support efficient data processing and analytical workloads.

Required Califications:

· 5+ years of hands-on expertise with Azure Databricks, Python, PySpark, and Delta Lake.
· 5+ years of proven experience with Azure Data Factory for orchestrating and monitoring pipelines.
· Strong SQL Server / T-SQL experience with a focus on query optimization, indexing strategies, and coding best practices.
· Demonstrated experience in SSIS package design, deployment, and performance tuning.
· Hands-on knowledge of Unity Catalog for governance.
· Experience with Git (Azure DevOps Repos) and CI/CD practices in data engineering projects.

Nice to Have:

· Exposure to Change Data Capture (CDC), Change Data Feed (CDF), and Temporal Tables.
· Experience with Microsoft Purview, Power BI, and Azure-native integrations.
· Familiarity with Profisee Master Data Management (MDM).
· Working in Agile/Scrum environments.

Preferred Qualifications:

Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Azure Solutions Architect Expert or equivalent advanced Azure certification
Databricks Certified Data Engineer Associate or Professional
Additional Microsoft SQL Server or Azure certifications demonstrating advanced database and cloud expertise