drjobs Data Engineer II

Data Engineer II

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1 Vacancy
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Job Location drjobs

Seattle, OR - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Overview
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. We are a community of 50 million who think-and feel-differently about investing. Together were changing the way the world invests. Since our founding in 1975 helping investors achieve their goals has been our main reason for existence. At Client were built differently. Our client is investor-owned meaning that were owned by our funds which are owned by our fund shareholder clients. Therefore your success adds to ours so youre surrounded by people who care about the same things. With no other parties to answer to we make decisions-including keeping investing costs as low as possible-with your needs in mind. Because of our unique structure your goals align with our goals.
Position: Data Engineer II
Location: Seattle WA
Duration: 9 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
  • AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure.
  • In other words were the people who keep the cloud running.
  • We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on.
  • We work on the most challenging problems with thousands of variables impacting the supply chain - and were looking for talented people who want to help.
  • Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles.
  • Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.
  • Youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
  • Were looking for Senior Data Engineer to help us grow our Data Lake and Data Warehouse Systems which is being built using a serverless architecture with 100% native AWS components including Redshift Spectrum Athena S3 Lambda Glue EMR Kinesis SNS CloudWatch and more!
  • We own a world-class data lake that is used to drive multi-billion dollar decisions on a regular cadence and were looking to improve on filling the lake quickly with as little human intervention needed and democratize the data in the lake.
  • Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business.
  • Our Data Engineers use best practices in software engineering data management data storage data compute and distributed systems.
  • We are passionate about solving business problems with data!
Required:
  • Singla Pankajs message action menu
  • Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python Spark SQL and AWS services such as S3 Glue Lambda SNS SQS KMS.
  • Implement and support reporting and analytics infrastructure for internal business customers.
  • Develop and maintain data security and permissions solutions for enterprise scale data warehouse and data lake implementations including data encryption and database user access controls and logging.
  • Develop data objects for business analytics using data modeling techniques.
  • Develop and optimize data warehouse and data lake tables using best practices for DDL physical and logical tables data partitioning compression and parallelization.
  • Develop and maintain data warehouse and data lake metadata data catalog and user documentation for internal business customers.
  • Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse data lake and analytics solutions.
Degree or Certification:
  • Bachelors required (Computer Science preferred but experience in the data field is ok)
KPI:
  • Fixing automation issues daily
  • Quality of works / fixes
Leadership Principle:
  • Bias for Action
  • Deliver Results
  • Ownership
  • Invent and Simplify
Top 3 must-have hard skills
  • Cloud Technologies (ex. Microsoft AWS) - 3yrs
  • Python 2yrs
  • SQL 3yrs
TekWissen Group is an equal opportunity employer supporting workforce diversity.

Employment Type

Full Time

Company Industry

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