Negotiable
Outside
Remote
USA
Summary: We are looking for a Data Engineer with expertise in Azure Data Factory, Azure Databricks, Oracle, and PostgreSQL to design and implement data pipelines and optimize data flows within the Microsoft Azure ecosystem. The role requires strong collaboration with data analysts and scientists to ensure the delivery of clean and reliable data. The ideal candidate should have relevant Azure certifications and experience in the aero, automotive, or heavy industry. This position is remote and classified as outside IR35.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based).
- Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data.
- Optimize performance of data workflows, especially within Azure environments.
- Implement data quality checks, lineage tracking, and monitoring processes.
- Follow and contribute to data governance, security, and compliance policies.
- Participate in code reviews, documentation, and continuous improvement initiatives.
Key Skills:
- Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
- Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
- Proficient in building ETL/ELT workflows and data orchestration on Azure.
- Experience with Azure storage solutions (Blob Storage, ADLS Gen2).
- Strong understanding of data modeling, warehousing concepts, and performance optimization.
- Familiarity with CI/CD pipelines in Azure DevOps is a plus.
- Excellent problem-solving skills and ability to work independently or in a team.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Engineer Azure Platform (Remote)
Remote
Long Term
Azure Certification Needed
Aero/automotive/heavy industry preferred
Must Have: Certification: Required Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory,
Job Summary:
We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory, Azure Databricks, Oracle, and PostgreSQL. The ideal candidate will design and implement robust data pipelines, optimize data flows, and contribute to our cloud data platform initiatives using the Microsoft Azure ecosystem.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based).
- Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data.
- Optimize performance of data workflows, especially within Azure environments.
- Implement data quality checks, lineage tracking, and monitoring processes.
- Follow and contribute to data governance, security, and compliance policies.
- Participate in code reviews, documentation, and continuous improvement initiatives.
Required Skills & Experience:
- Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
- Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
- Proficient in building ETL/ELT workflows and data orchestration on Azure.
- Experience with Azure storage solutions (Blob Storage, ADLS Gen2).
- Strong understanding of data modeling, warehousing concepts, and performance optimization.
- Familiarity with CI/CD pipelines in Azure DevOps is a plus.
- Excellent problem-solving skills and ability to work independently or in a team.