Job Title: Data Solutions Engineer
We are seeking a highly skilled data solutions engineer 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 Skills and Qualifications:
* 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.
Benefits:
* Opportunity to work on large-scale data engineering projects.
* Collaborative and dynamic work environment.
* Professional development and growth opportunities.
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.
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.