BI Developer

Role: BI Developer

Location: Lebanon, Indiana (Onsite-5 days a week at client location)

Experience: 5-7 Years

Visa: Any (Which doesn''t require sponsorship)

Contract: 6+ months with possible extension

Job Summary

We are looking for an experienced Senior Azure Databricks & Microsoft Fabric Data Engineer to design, develop, and implement scalable cloud-based data platforms using Microsoft Azure technologies.

The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric, and modern data engineering practices, along with the ability to deliver enterprise-scale data platform solutions from design through production deployment.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Develop ETL/ELT workflows using PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
• Build and optimize Lakehouse and Data Warehouse architectures.
• Develop and manage Microsoft Fabric Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake solutions.
• Perform data ingestion, transformation, validation, and performance tuning.
• Collaborate with business stakeholders, solution architects, BI developers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in solution design, code reviews, testing, deployment, and production support.
• Follow best practices for data security, governance, documentation, and CI/CD.

Mandatory Skills

• Strong hands-on experience with Azure Databricks.
• Expertise in PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
• Solid working knowledge of Microsoft Fabric, including Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake.
• Strong understanding of Data Warehouse and Lakehouse architecture.
• Experience delivering large-scale enterprise data platform projects from design to production.
• Strong SQL skills and data modelling experience.
• Excellent communication and stakeholder management skills.

Good to Have

• Power BI (Data Modelling, DAX, Power Query, Report Development).
• Azure Data Factory, Azure Data Lake Storage Gen2, Azure DevOps, Git, CI/CD.
• Azure Synapse Analytics, Unity Catalog, Microsoft Purview.
• Experience in Agile/Scrum environments.
• Microsoft Azure or Microsoft Fabric certifications.

Required Experience

• 8–15 years of overall IT experience with at least 4+ years in Azure Data Engineering.
• Proven experience building enterprise-scale cloud data platforms.
• Experience working with structured and semi-structured data.
• Strong problem-solving and analytical skills with the ability to work independently.

Education

Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related discipline.

Preferred Domain Experience

Experience in Manufacturing, Pharmaceuticals, Healthcare, Life Sciences, or Supply Chain domains will be an advantage. Exposure to regulated environments (GxP/FDA) is desirable.

Keywords: Azure Databricks, PySpark, Delta Lake, Microsoft Fabric, Lakehouse, OneLake, Dataflows Gen2, Data Pipelines, SQL, Data Warehouse, Azure Data Engineering, Power BI, DAX, Azure DevOps, ETL, Cloud Data Platform.