Posted a month ago by

AVP, Technical Data Engineer Lead (L11)

Chicago, IL, United States
Employment: Full Time Experience: Senior

Role Summary/Purpose:

We are looking for a Technical Data Engineer Lead to lead the development of consumer-centric low latency analytic environment leveraging Big Data technologies and transform the legacy systems.

Essential Responsibilities:

  • Lead a development team of big data engineers
  • Implement a big data enterprise data lake, BI and analytics system using Hive, Spark, RedShift, EMR (Hadoop)
  • Responsible for design, advanced development, testing oversight and implementation
  • Works closely with program manager, scrum master, and architects to convey technical impacts to development timeline and risks
  • Coordinate with data engineers and API developers to drive program delivery.
  • Drive technical development and application standards across enterprise data lake
  • Perform other duties and/or special projects as assigned


  • BS in computer science or engineering degree, Master degree preferred
  • 4+ years experienced hands on working experience on Hadoop, Spark, Kafka, MapReduce, HDFS, Hive, Pig Sqoop and Oozie.
  • Implementation and leadership experience across the technology stack.

Desired Characteristics:

  • Extensive experience working with data warehouses and big data platforms
  • Ability to lead and influence across departments and across levels of leaderships
  • Proven ability to organize/manage multiple priorities coupled with the flexibility to quickly adapt to ever-changing business needs.
  • Excellent written and oral communication skills. Adept and presenting complex topics, influencing and executing with timely / actionable follow-through.
  • Strong analytical and problem-solving skills with the ability to convert information into practical deliverables. Uses rigorous logic and methods to solve difficult problems.
  • Experience working in real-time data ingestion is required.
  • Experienced in sourcing and processing structured, semi-structured and unstructured data
  • Experience in Data Cleansing/Transformation, Performance Tuning.
  • Experience in Storm, Kafka, and Flume would be a plus.
  • Experience working on Ab Initio would be a plus.
  • Hortonworks or Cloudera or MapR Certification would be a plus
  • Basic knowledge of Big Data administration (Ambari).
  • Demonstrated experience building strong relationships with senior leaders
  • Strong leadership and influencing skills
  • Outstanding written and verbal skills and the ability to influence and motivate teams

Eligibility Requirements:

  • You must be 18 years or older
  • You must have a high school diploma or equivalent
  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the selection process
  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
  • If currently a Synchrony Financial Employee, you must have been in your current position for at least 6 months (Level 4 – 7) or 24 months (level 8 or greater), have at least a “consistently meets expectations” performance rating and have the approval of your manager to post (or the approval of your manager and HR to apply if you don’t meet the time-in-job or performance requirement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time.

Grade/Level: 11

Required Skills
Equal Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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