Data Engineer III

TekWissen LLC

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Overview
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients worldwide. Our client is a company operating a marketplace for consumers sellers and content creators. It offers merchandise and content purchased for resale from vendors and those offered by third party sellers.
Position: Data Engineer III
Location: Seattle WA 98121
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
  • The client is looking for a Data Engineer to join the Infrastructure Automation team.
  • The client has over 70 million customers and developers all over the world rely on our storage compute and virtualized services via client Web Services.
  • Our success depends on our worldclass network and hardware infrastructure; were handling massive scale and rapid integration of emergent technologies.
  • Our goal is to become The Infrastructure Platform for the world. The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.
Responsibilities
  • As a Data Engineer you will be working in one of the worlds largest and most complex data warehouse environments.
  • You will be developing and supporting the analytic technologies that give our customers timely flexible and structured access to their data.
  • Design build and maintain scalable reliable and reusable data pipelines and infrastructure that support analytics reporting and strategic decisionmaking.
  • You will be responsible for designing and implementing a platform using thirdparty and inhouse reporting tools modeling metadata building reports and dashboards
  • You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
  • Explore source systems data flows and business processes to uncover opportunities ensure data accuracy and completeness and drive improvements in data quality and usability.
Candidate Requirements:
Required Skills & Experience
  • 7 years of related experience.
  • Experience with data modeling warehousing and building ETL pipelines
  • Strong experience with SQL
  • Experience in at least one modern scripting or programming language such as Python Java.
  • Strong analytical skills with the ability to translate business requirements into technical data solutions.
  • Excellent communication skills with the ability to collaborate across technical and business teams.
  • A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.
Preferred
  • Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
  • Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
  • 3 years of reparation of data for direct use in visualization tools like Tableau experience
KPI:
  • Meet requirements how they action solutions etc.:
Leadership Principles:
  • Deliver Results
  • Dive Deep
Top 3 musthave hard skills
  • Strong experience with SQL
  • Experience in at least one modern scripting or programming language such as Python Java.
  • Experience with data modeling warehousing and building ETL pipelines
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Overview TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients worldwide. Our client is a company operating a marketplace for consumers sellers and content creators. It offers merchandise and content purchas...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala