Support Engineer - Big Data

 Bangalore, India       Permanent contract        Information Technology


Spark (Batch processing)

Programing Back ground (preferred Scala and java)

  • Strong Understanding of Big data Ecosystem and related technologies Good hands-on Spark, Oozie, HDFS, YARN,Unix Shell Scripting and Hive
  • Good hands-on CI/CD tools on build & Deploy like Maven
  •  Good hands-on Java would be added advantage
  • Good hands-on Oozie and any other scheduling and data pipeline toolsBuild & deploy the big data solution developed by development team in higher environments releases. 
  • Maintain the artifacts, scripts and environments to enable development team to deliver the projects.
  •  Should be able to support ,troubleshoot and diagnose the components in different environments developed by development team
  • Strong analytical and problem solving skills.
  • Should be able to prepare/define process to maintain the project life cycle with documentation
  • Strong knowledge of Big Data technology platforms and environments.
  • Proven ability to work independently in a dynamic environment with multiple assigned projects and tasks.
  •  Outstanding ability to communicate, both verbally and in writing.
  • Hands on experience on CI / CD tools, build tools like Maven ,test-driven development, Schell scripting and Java is a plus.

  • Good understanding of  Agile practices is a plus
  • Responsible for production monitoring and incident management with development team

  • Should be able to automate the Processes on manual activities and gain efficiency

Profile Required

Hive and Hue

Hadoop Ecosystem (HDFS,  Oozie, Elastic Search and Kafka)


Webservices  (Restful )

Experience in development and design of big data applications with clean code and TDD kind of environment.

Comfortable with build tools like Maven

Comfortable with version management tools like Git

Experience working with Scrum teams (Sprint or XP )

Why Join Us

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Business Insight

A 100% owned subsidiary of European banking and financial services major Societe Generale (SG), Societe Generale Global Solution Centre (SG GSC) came into existence in 2000. Established as an offshore development centre in Bangalore, also having a presence in Chennai, SG GSC has 15 years of sustainable delivery expertise to its credit, and develops global best practices to promote the strategic objectives of the Societe Generale Group.

SG GSC possesses in-depth understanding of the business processes and cutting-edge technologies across domains of Societe Generale’s diverse portfolio. We deliver best-in-class solutions to the Group’s entities in the realm of corporate and investment banking, retail banking, specialized financing and insurance, private banking, and global investment management and services.

We place the highest importance on our employees and provide extensive opportunities for career progression and development. SG GSC conforms to the group diversity principles, and has a multi-cultural staff representing seven nationalities, and speaking 20 languages. Women comprise 25% of our workforce.

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, sexual or gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Job code: 20000DGN
Business unit: SG Global Solution Centre
Starting date: 06/07/2020
Date of publication: 25/06/2020
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Support Engineer - Big Data

Permanent contract   |   Bangalore   |   Information Technology