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Azure Data Engr

ACCLiiVEHouston, TX🇺🇸United StatesPosted 20 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to build and design critical data integration solutions within the Microsoft Cloud, leveraging cutting-edge Azure technologies. You'll thrive here if you have a strong background in Azure Data Factory, Databricks, and Python, with a passion for innovation and a desire to grow your skills within a reputable IT consulting firm. Apply today to contribute to impactful projects in the Oil & Gas sector and advance your career!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title :Azure Data Engr

Location : Houston

Duration : Long term contract

Job Overview :

Design and Build the integration jobs that move data from existing SoR applications into and throughout the Microsoft Cloud environment (Data Lake, Azure SQL, Azure DWH) leveraging client's common/standard integration patterns, tools and languages (Azure Data Factory, Databricks, Synapse, Spark SQL, Python, PySpark)

Technical Skills:

Azure Data Factory (ADF)

Azure Databricks

Python

Spark SQL & PySpark

Azure Synapse, Azure SQL, Azure DWH

Azure Data Lake Storage / Analytics

Azure Database Migration Services

Knowledge in older integration and storage tools is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.) Soft Skills:

Ability to navigate and comprehend mapping documents Experience with CI/CD pipelines, branching strategies, & GIT for code management Experience with Azure DevOps (ADO) tool for work management

Practitioner of Agile/SAFe practices

Experience with Job Scheduling tools

Experience in Oil & Gas domain is mandatory


Accliive, is an IT Consulting Company working with Fortune 500 clients and is based out of Boston, MA. Accliive works extensively in all the major industries like BFSI, Oil and Gas, Utilities, Healthcare and many more. Acclive is focused on providing customer centric solutions and career centric solutions.

Skills

SQL
SQL Server
Agile
Azure
Databricks
Git
Python
SAFe
Scheduling

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