F2F – Sr. Data Engineer; Data Lake MarTech Atlanta, GA; Hybrid Onsite

Role:
Senior Data Engineer (Data Lake Mar Tech)

Locations:
Atlanta, GA (Hybrid Onsite)

Duration: 12 Months Contract

F2F Interview Highly Preferred for Local Candidates .

Note:
Candidate needs to be in the office 3-4 Days every week.
Local or candidates from adjacent states only.

• We are looking for a Senior Data Engineer to be part of our scrum teams and perform functional & system development for Hadoop applications for our Enterprise Data Lake initiative.
• This is high visibility fast paced key initiative will integrate data across internal and external sources, provide analytical insights and integrate with our critical systems.

• Participate in the agile development process.
• Develop functional and technical specifications from business requirements for the commercial platform.
• Ensure application quality and adherence to performance requirements.
• Help create project estimates and plans. Represent engineering team in project meetings and solution discussions.
• Participate code review process.
• Work with team members to achieve business results in a fast paced and quickly changing environment.
• Pair up with data engineers to develop cutting edge Analytic applications leveraging Big Data technologies:
  Hadoop, No
  
  SQL and In‑memory Data Grids.
• Mentor and influence up and down the chain of command.
• Perform other duties and/or projects as assigned.

• Bachelor’s degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 10 years of experience
• Minimum 5 years’ experience working with and developing big data solutions
• Experts in the following Ab Initio tools: GDE — Graphical Development Environment;
  Co-Operating System;
  Control Center;
  Metadata Hub;
  Enterprise Meta Environment;
  Enterprise Meta Environment Portal;
  Acquire It;
  Express It;
  Conduct It;
  Data Quality Environment;
  Query It.
• Hands‑on experience on writing shell scripts, complex SQL queries, Hadoop commands and Git.
• Ability to write abstracted, reusable code components.
• Programming experience in at least two of the following languages:
  Scala, Java or Python.

• Strong business acumen.
• Critical Thinking and Creativity.
• Performance tuning experience.
• Experience in developing Hive, Sqoop, Spark, Kafka, HBase on Hadoop.
• Familiar with Ab Initio, Hortonworks, Zookeeper, and Oozie is a plus.
• Willingness to learn new technologies quickly.
• Superior oral, and written communication skills, as well as the willingness to collaborate across teams of internal and external technical staff, business analysts, software support and operations staff.
• Strong business acumen including a broad understanding of Synchrony Financial business processes and practices.