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R3978Employment type:
Full timeWorksite flexibility:
HybridCAI is a global technology services firm with over 8500 associates worldwide and a yearly revenue of $1 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailormade solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for an Azure Data Engineer with experience in designing building and maintaining data pipelines to support business and analytics needs this position will be full time and Hybrid.Job Description
As an Azure Data Engineer you will be responsible for designing building and maintaining data pipelines to support business and analytics needs. You will work closely with data analysts and business stakeholders to understand their needs and develop solutions to meet those needs.
What Youll Do
Azure Databricks and Azure Synapse Analytics Azure Data Lake
Design develop manage data flows that integrate information from various sources into a common data lake using Microsoft Azure data Factory.
Extract transform and load data from variety of sources including onpremises databases cloudbased data stores and API calls.
6 years of working with SQL implement data processing and transformation logic using SQL handling complex windowing functions and joins.
Optimize and tune data pipelines for performance scalability and costefficiency leveraging best practices and automation tools.
Ensure data quality integrity and security throughout the data lifecycle implementing data governance policies and compliance standards.
Collaborate with data analysts and business stakeholders to understand their data needs and develop data models and solutions to meet those needs.
Monitor and troubleshoot data pipelines identifying and resolving issues in a timely manner to minimize impact on business operations.
Competencies & Experience Required/Desired
Effective communication and collaboration skills with the ability to work effectively in a remote and crossfunctional team environment.
Experience working on ETL Microsoft Azure SQL Data Warehouse SQL Scripting with exposure to other services on the Azure landscape API Data Extraction
What Youll Need
Any Degree
6 Years of Experience in Azure with Data Engineering.
4 Hands on experience in Azure technologies such as Azure Data Factory
Proven experience as a data engineer with a focus on designing and building data solutions on Azure.
Knowledge of Azure data services such as Azure Data Factory Azure Databricks Azure Synapse Analytics Azure SQL Datawarehouse and Azure Data Lake Storage.
Strong proficiency in SQL.
Experience with data modeling schema design and performance optimization techniques.
Expert in data integration patterns ETL/ELT processes and data warehousing concepts.
Excellent problemsolving and analytical skills with the ability to troubleshoot complex data issues and drive resolution.
Physical Demands
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc.
Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor.
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application interviewing completing any preemployment testing or otherwise participating in the employment selection process please direct your inquiries to or.
Full-Time