Sapsol Technologies

Azure Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USA$45 - $60Remote

About the Job

Requirements

Required: Microsoft Certified: Azure Data Engineer Associate certification or higher.
Strong hands-on experience with Azure Data Factory and Azure Databricks; PySpark or Scala experience is preferred.
Working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
Proficiency in building ETL/ELT workflows and data orchestration on Azure.
Experience with Azure storage solutions, including Blob Storage and ADLS Gen2.
Understanding of data modeling, data warehousing concepts, and performance optimization.
Ability to work independently or collaboratively.

Responsibilities

Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based).
Ingest, transform, and orchestrate data from 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.

Desired Qualifications

Familiarity with CI/CD pipelines in Azure DevOps.

Azure Data Engineer

Sapsol Technologies Inc · United States (Remote) · Contract · Posted 2025-08-28

Salary: USD 45–60

Workplace: remote

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.

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About the Company

Sapsol Technologies

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Bristol, VA
Founded: Not listed

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