***Not able to use 3rd Party Agencies***
Data Engineering Tech Lead
Our client, a software consulting and engineering firm will be hiring a Data Engineering Tech Lead.
In this highly visible role, you will serve as the technical expert responsible for design and implementation of BI, Analytics, & Big Data solutions providing high-value, timely analytics and data solutions to customers.
You will be responsible for verifying requirements, defining architecture, developing an implementation plan, providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.
You will also provide direction to developers overseeing the development, unit testing and documentation for the developed solution and develop strong customer relationships for ongoing business.
For success in this role, you will be experienced with the Cloud-based Data Solution Architectures, Software Development Life Cycle (including both Agile & Waterfall), Data Engineering and ETL tools/platforms, and data modeling practices.
Data Engineering Tech Lead Responsibilities
Manage the development of Data Engineering Solutions including Data Lake / Data Warehouse / Business Intelligence solutions.
Develop Analytics/BI Solutions providing developed solutions as well as hand’s-on guidance to the project team members.
Serve as a thought leader & expert on Analytics/BI tools.
Develop relational models, cubes and reports in a re-usable fashion aligned with the architectural direction.
Work closely with the deployment team to ensure all developed solutions are aligned to design documentation and customer requirements.
Mentor fellow Analytics Developers/Team Members/Clients.
Analyze customer’s business needs and information requirements, define optimum system requirements to meet business needs, and be able to prioritize and manage new, in-line requirements.
Provide hands-on problem-solving assistance with data integration and data profiling tools to developers.
Data Engineering Tech Lead Qualifications
10+ years Deep Experience with RDBMS systems and data warehousing with an Expert Level understanding of BI/DW architecture, Cloud Solution Architecture (AWS and/or Azure), and Performance Standards/Tuning.
Strong to Expert level SQL & Python skills.
5+ years of experience in data modeling (logical and/or physical), ETL design, reporting design.
Deep Experience with a variety of ETL/Data Solution tools such as AWS Data Pipeline, Azure Data Factory, AWS Redshift, Informatica, SSIS, etc.
Deep Experience with both structured & unstructured data Data Engineering.
Deep Experience with Relational (SQL Server, Oracle, MySQL, etc.) & No-SQL databases (Cassandra, MongoDB, Hadoop, etc.).
Experience developing RESTful API’s to enable data consumption.
At least 1 year Consulting or IS Consulting Experience Understanding of core Business Intelligence (BI)/data warehousing technology: RDBMS, Web, Client/ Server, and OLAP skills.
Experience with Stream/Messaging/Workflow management a plus (i.e. Apache Airflow, Kinesis, Kafka, Spark, etc.).
Experience developing API integrations/embedding of Reporting Tool visualizations (i.e. Tableau, Power BI, etc.).
Experience solving business problems by applying analytics techniques such as machine learning and statistical modeling using analytical tools and programming languages.
Experience with R, SAS, Jump, or similar Statistical Modeling software Experience with Object Oriented development methods.
Programming experience (.Net, Visual Basic, C, C++); Web/Internet experience (JAVA, HTML, ASP, XML, XSL).
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.
Not Ready to Apply?