Data Engineer

Insight Global is seeking a Senior Data Engineer to design, build, and scale robust data solutions on Microsoft Azure. Youll own modern data pipelines and models that power analytics and reporting across the business. The ideal candidate is handson with SQL databases, Azure Data Lake Storage, Azure Data Factory (ADF), and Power BI, and is comfortable operating in an engineering culture that values reliability, performance, and strong DevOps practices.

Required Skills & Experience

- 5+ years of professional experience in data engineering or closely related roles.

- Experience with Databricks for largescale transformations.

- Advanced expertise with SQL databases (e.g., Azure SQL/SQL Server) including query optimization and performance tuning.

- Handson experience with Azure Data Lake Storage (ADLS Gen2) and Azure Data Factory (ADF).

- Strong experience delivering analytics with Power BI (datasets, data models, DAX, security).

- Practical Azure DevOps experience (Git, Repos, Pipelines) for CI/CD of data solutions.

- Oracle experience (PL/SQL, data extraction and integration) in hybrid/cloud data architectures.

- Solid understanding of data warehousing concepts (dimensional modeling, SCD, partitioning) and ETL/ELT design patterns.

- Proficiency in at least one scripting/programming language commonly used in data engineering (e.g., Python or SQLcentric frameworks) for automation and data transformations.

- Strong ownership, communication, and collaboration skills in distributed teams.

Nice to Have Skills & Experience

Experience with Power BI deployment pipelines and governance at scale.

Familiarity with Application Insights telemetry, Log Analytics, and endtoend observability for data workloads.

Data quality tooling (e.g., unit/integration testing, validation frameworks), and experience with metadata/catalog solutions.

Background in optimizing cost on Azure (storage tiers, pipeline orchestration strategies, caching).