Azure Data Engineer

Overview

Remote
$50 - $60
Contract - W2

Skills

ADF
Apache Kafka
Apache Spark
Big Data
Cloud Security
Collaboration
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Governance
Data Lake
Data Modeling
Data Quality
Databricks
Debugging
DevOps
ELT
Extract
Transform
Load
Management
Microsoft Azure
Microsoft Power BI
OLAP
OLTP
Problem Solving
PySpark
Regulatory Compliance
SQL
SQL Azure
SQL Tuning
Scalability
Snow Flake Schema
Stored Procedures
Streaming

Job Details

Role: Azure Data Engineer
Location: Remote 
Experience: 10+ years(Only W2)

Key Responsibilities:

  • Design, develop, and optimize scalable data pipelines and ETL/ELT processes on Azure.

  • Work with Azure Data Lake, Azure Synapse, Azure Databricks, and Azure SQL Database.

  • Build and manage data ingestion frameworks using Azure Data Factory (ADF).

  • Ensure data quality, governance, and compliance standards.

  • Collaborate with data scientists, analysts, and stakeholders to deliver insights.

  • Optimize performance and scalability of big data solutions.

Required Skills:

  • Strong experience in Azure Data Factory, Synapse, Databricks, Data Lake, and SQL.

  • Advanced SQL, performance tuning, stored procedures.

  • Proficiency in PySpark/Spark for big data transformations.

  • Strong understanding of data modeling (OLTP, OLAP, Star/Snowflake schema).

  • Hands-on with CI/CD pipelines in Azure DevOps.

  • Excellent problem-solving and debugging skills.

  • Exposure to Power BI integration with Azure.

  • Experience with Delta Lake and streaming (Event Hubs/Kafka).

  • Experience with cloud security and data governance.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Learn Beyond Consulting LLC