Azure Data Engr

Acclive Inc.
Houston, TX, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Data Analysis Microsoft Azure Microsoft Online Services Data Warehousing IBM InfoSphere DataStage Apache Hive Job Scheduling Python (Programming Language) Microsoft SQL Server SQL Azure Azure Data Lake
+11 more
SQL Databases SQL Server Integration Services Azure Data Factory Git Build Management Data Lakes Pyspark Git Flow Azure Synapse Analytics Software Version Control Databricks

Requirements

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

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:02 min

Mapping Git flow branches to application tester segments

Majid Hajian · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

5:19 min

Audience Q&A on future tools and Git commands

PJ Hagerty PJ Hagerty · WWC Europe 2026

3:53 min

Introduction to git flow and clean feature branches

Johannes Haux · WWC 2022

Videos

See all

Related articles

See all