Data Engineer / Big Data Developer

Salary depends on experience
Posted on 06/21/18
Pittsburgh, PA
5 - 7 years experience
Professional, Scientific & Technical Services
Salary depends on experience
Posted on 06/21/18


EXL Consulting continues to spearhead its role in driving its “Digital Made Real” message across its client base. This is your opportunity to be a part of these exciting times to drive industry shaping transformation. Come and join us if you are:

  • Excited and looking forward to the next stage of digital transformation
  • Passionate in technologies and striving to make a difference with the aid of automation & intelligent operations
  • Interested to make an impact by helping industry-leaders elevating their business efficiency
  • Enjoy being in the community of great and enthusiastic people who share goals and accomplishments
  • Striving to perform, inspire, progress and achieve more



You’ll work in one of our Global offices as part of our Digital Transformation Consulting Practice as a big data / BI data engineer. The Digital Organization brings together the best of EXL’s digital capabilities—drawing from our Platforms & Products, EXL Digital Labs & Digital Consulting, and our Advanced Automation & Robotics function, combining them into one cohesive organization. The selected individual should have enterprise software design and development knowledge as well as experience in project life-cycle including Agile, DevOps, Design Thinking etc. Additionally the candidate must have experience in implementing complex big data solutions on Hadoop and other Big Data technologies as a data engineer


  • Over 5 years of experience as a data warehouse, big data and BI data engineer
  • Prior experience in complex Agile based big data initiatives
  • Prior experience as a data modeler, engineer in DW and BI solutions development projects
  • Prior consulting experience high preferable
  • Prior experience as a data engineer with Hadoop based technologies such as MapReduce, Hive MongoDB or Cassandra
  • Ability to understand BI, management reporting and data analytics needs in order to build appropriate data structures and reports
  • Good communication and interpersonal skills to quickly understand reporting and analytics requirements to develop right data structure in a big data environment
  • Prior experience in working within retailbanking / lending operation highly desirable


  • Bachelor's degree in Computer Science, Automation, Electrical Engineering or similar field; MBA, MIS, or other advanced degreepreferred

  • 6+ years of relevant experience and/or appropriate related formal education are preferred.

 ID 2018-5589

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