Data Engineer (Sr Systems Analyst)
Atlanta, Georgia  

We have a Contract position for "Data Engineer (Sr Systems Analyst)" with one of our direct clients in Atlanta, Georgia for initial contract duration of  12+ months. No third party candidates considered for this position. US citizens and all those authorized to work in the US are encouraged to apply.

Job Description

We are seeking a highly motivated, forward thinking Business Intelligence (BI) professional to support the enterprise Client Decision Analytics Group and develop custom Client BI solutions used across 50+ facilities within multiple divisions.  The Decision Analytics Group functions as a Center of Excellence for all things data related for all of Client.  This group creates sustainable value and competitive advantage by leveraging analytics, information, technology, and actionable insights across the enterprise while focusing on futuristic possibilities of analytics. This role will have the opportunity to leverage the latest BI and Analytics technologies and partner with our financial community to expand our cost Modeling and decision-making capabilities. 

A Day In The Life Typically Includes:

  • Hands on lead for data consolidation and syndication (from various source systems including machine and sensor data in batch, near real-time, and real-time).
  • Develop in data quality processes and standard and build security of data assets.
  • Participate in collaborative software design and development of the new Enterprise Data Lake on cloud technologies including tools like RedShift, S3, Lambda, Glue and other AWS services.
  • Manage own learning and contribute to technical skill building of the team.
  • Embrace the engineering mindset and systems thinking. Collaborate with IT Architect to design forward looking data solutions.
  • Develop deep technical expertise in the data movement patterns, practices and tools.
  • Lead and participate in experiments involved with building out an Enterprise Data Lake.
  • Support various business users in their need for existing and new data elements and subject areas.
  • Demonstrate technical, team, and solution leadership through strong communication skills to recommend actionable, data-driven solutions .
  • Collaborate with team members, business stakeholders and data SMEs to elicit requirements and to develop a technical design and then implement a data lake.

Why Work For this Client?

  • A culture that places top priority on integrity and compliance
  • Opportunity for career growth at one of the largest, financially stable companies in the world
  • Encouragement to challenge the status quo and share knowledge.
  • Responsibilities and rewards based on contributions.
  • Continued company growth due to reinvesting 90% of our earnings.
  • Competitive pay and benefits that help you manage your personal and financial wellness.

Required Skills

What You Will Need:

Basic Qualifications:

  • Bachelor’s degree in Engineering (preferably Analytics, MIS or Computer Science). Masters degrees preferred.
  • Minimum 7 years of Data Analytics and Data Lake ETL
  • Experience using tools like Talend, Hadoop PIG and Scala scripting, AWS technologies, Microsoft BI stack (SQL, SSIS, SSAS and Multi-dimensional).
  • Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)
  • Big Data (Hadoop/EMR, Hive, Map-Reduce, Kinesis/Oozie, Sqoop, Spark)
  • Programming / Scripting (Python, Java, C/C++, Scala, Bash, Korn Shell)

Preferred Skills

What Will Put You Ahead?

Preferred Qualifications:

  • Markup Languages (JSON, XML, YAML)
  • Code Management Tools (Git/GitHub, Bit Bucket, SVN, TFS)
  • Minimum 2 years on active Big data development experience.
  • Good knowledge of cloud deployments of BI solutions including use of the AWS eco-system.
  • Preferred - experience of developing backend data solutions for front end tools like Tableau, PowerBI, and/or QlikSense.
  • Ability to pull together complex and disparate data sources, warehouse those data sources and architect a foundation to produce BI and analytical content, while operating in a fluid, rapidly changing data environment
  • Experience with Terraform or other CI/CD automation.


(For Candidate use only)


Maximum file size 5mb (doc/docx/pdf/rtf)