F2F Interview - Sr. Data Engineer (Data Lake MarTech)" - Atlanta, GA (Hybrid Onsite)

Role: Senior Data Engineer (Data Lake MarTech)

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.

Summary/Purpose:

• 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.

Essential Responsibilities:

• 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, NoSQL and In-memory Data Grids.
• Mentor and influence up and down the chain of command.
• Perform other duties and/or projects as assigned.

Qualifications/Requirements:

• 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.

Desired Characteristics:

• 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.