Azure Data Engineer

Sapsol Technologies Inc; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Sapsol Technologies Inc in the United States seeks a Data Engineer with expertise in Azure Data Factory, Azure Databricks, Oracle, and PostgreSQL to design and implement robust data pipelines and optimize data flows within the Microsoft Azure ecosystem.

You will collaborate with data analysts and scientists, ensure data quality, governance, and security, and contribute to cloud data platform initiatives through scalable ETL/ELT solutions and CI/CD practices in Azure DevOps.

Qualifications

• Experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
• Strong SQL skills with Oracle and PostgreSQL databases.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based).
• Ingest, transform, and orchestrate data from Oracle and PostgreSQL databases.
• Collaborate with data analysts, data scientists, and stakeholders to deliver clean, reliable data.
• Optimize performance of data workflows 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.

Skills

Azure Data Factory

Azure Databricks

Oracle

PostgreSQL

SQL Queries

ETL/ELT

Azure DevOps CI/CD

Job description

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.