Junior Azure Data Engineer

Write and optimize SQL queries for data extraction, transformation, and validation.

• Develop Python scripts for automation, data ingestion, and data quality checks.
• Build dataflows, pipelines, and lakehouse tables in Azure Fabric to meet standards.
• Collaborate with engineering team on ETL design, performance tuning, and optimization.
• Test, review code, and maintain technical documentation using Confluence and Git.
• Monitor data loads, troubleshoot failures, and update project tracking tools (Zephyr/JIRA).
• Stay updated on Azure tools and contribute to ongoing process improvements.
• Utilize Azure Data Factory, Databricks, and Data Lakes for data engineering tasks.
• Apply basic data warehousing concepts, including ETL, staging, and data modeling (fact/dimension).
• Execute version control and CI/CD processes with Git/Azure DevOps.
• Apply knowledge of metadata management and data quality best practices.
• Work in Agile or Scrum development environments.
• Leverage Power BI and basic DAX concepts as needed.

1 2 years hands-on experience with SQL (preferably T-SQL) and Python scripting.

• Direct experience with Azure Data Factory, Databricks, Data Lakes, and related services.
• Familiarity with data modeling, metadata management, and data-quality concepts.
• Experience with Git/Azure DevOps, Confluence, and JIRA.
• Understanding of Agile/Scrum methodologies.
• Local to Boston, MA (hybrid work requirement).
• No sponsorship available; LinkedIn profile required for submissions.