Data Engineer III

TekWissen LLC

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profile Job Location:

Atlanta, GA - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 hours 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 world-wide. 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: Atlanta GA 30305
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
  • The client is looking for a Data Engineer to join the Infrastructure Automation team.
  • 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 world-class 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.
  • You will be responsible for designing and implementing a platform using third-party and in-house reporting tools modeling metadata building reports and dashboards in Oracle BI Enterprise Edition (OBIEE).
  • You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Required Skills & Experience
  • 7 years of related experience.
  • Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).
  • Should have experience developing complex and a variety of reports.
  • A good candidate has strong analytical skills and enjoys working with large complex data sets.
  • Good knowledge of SQL
  • 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
  • Strong OBIEE reporting experience
  • SQL skills
Candidate Requirements
  • Understanding of operational data from the AWS fleet and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
  • Optimize the performance of data queries and address extract transform load (ETL) procedures.
  • Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Nice to haves
  • Experience with data modeling warehousing and building ETL pipelines
  • Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
  • Performing deep-dives to find root causes of potential data anomalies and taking subsequent action to address these anomalies.
Leadership Principles
  • Dive Deep
  • Customer obsession
Years of Experience
  • 3-5 years experience
Degree/ Certification Requirements
  • Bachelors degree in computer science or equivalent
  • What background does someone have that is successful in this role
  • Somebody who has worked as data engineer for large data sets preferably from technology industry background.
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 world-wide. Our client is a company operating a marketplace for consumers sellers and content creators. It offers merchandise and content purcha...
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Key Skills

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