#clouddataengineering
#azuredatafactory #azuredatalake
#dataengineering
#enterprisedatawarehousing #edw
#etl #elt #sqlserver #scripting
title: Technical Lead – Cloud Data Engineering---REMOTE
location: This is a fully remote, teleworking position with potential travel to the Washington D.C. metro area on special occasions.
duration: 6 months, extension
security clearance: US Citizenship and ability to successfully obtain government-issued Public Trust clearance.
While this is a lead role, this is also a strong individual contributor. If a candidate was in a lead role, please be sure their resume spells out their individual contributions day in/day out.
A primary skill-set need is somebody who worked hands-on in Azure Data Factory, Synapse, SQL Managed Instances building pipelines and has brought data from source systems and traditional on-prem/EDW.
Heavy in Data Engineering skills along with someone who can improve overall report performance with ETL performance testing using tools like JMeter, Spark UI + Ganglia
Use of Azure Cloud Native Performance Testing Tools
Technical Lead – Cloud Data Engineering to lead a team of developers in, Design and implementation of data engineering solutions for Azure Cloud based Data Lake, SQL, and NoSQL data stores. As a technical lead, you will work directly with end users to translate business requirements into cloud data engineering to support an enterprise scale Microsoft Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented, and applies critical thinking, including the use of AI concepts, to create innovative functions and solve technical issues.
At least a BS degree in Computer Science or related field and 9+ years experience.
5+ years of proven experience leading a team supporting enterprise data warehousing using Microsoft data warehousing and reporting solutions.
5+ years of experience working directly with clients to understand data needs, develop and deliver solutions (data engineering, reports, dashboards, data extracts), and provide continued support.
5+ years of strong experience in ETL performance testing for traditional EDW and Azure Cloud Data platforms with the use of tools such as JMeter, Native Azure Tools like Azure App Testing, Azure Monitor + Log Analytics, Spark UI + Ganglia for Lakehouse Performance.
5+ years of experience delivering solutions using Microsoft database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
5+ years of experience with more than one of the following scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
3+ years of experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
Experience in Agile projects, working with a multi-functional team.