Senior Big Data Engineer

Responsibilities:
 
  • Experience working in big data platform for implementing projects with high SLA of data availability and data quality, exposure to public cloud technologies is a major plus
  • 10+ years of overall IT experience
  • 5+ years of experience in a Data Engineer role
  • Experience with big data tools like Spark, HDFS, Hive, Impala, Scala, Kudu, Kafka, Python programming
  • Experience with relational SQL and NoSQL databases
  • Good working knowledge in bash script
  • Substantial exposure to enterprise infrastructure, data processing, enterprise software applications
  • Experience of being involved in delivering large scale distributed systems
  • Flexible, people and organization savvy - ability to work in a matrix environment across regions with fast pace, know how to build effective relationships and communicate effectively with various teams across time zones
  • Working experience with CI/CD tools like Subversion/Git, Maven, Jenkins
  • Good knowledge of agile deliveries
  • Excellent communication and presentation skills
Qualifications:
 
  • Familiarity with Finance Business domain, P&L Attribution and/or Risk P&L
  • Familiar with microservcie architecture, JSON, API based interfaces
  • Experience in redesigning legacy technology based solutions using Big Data technology stack
  • Previous participation in change management or process re-engineering team
  • Experience at a major investment or global commercial bank
  • Experience in working in a global team spanning across multiple regions and locations
  • Self-motivated, enthusiastic and proven fast learner who possess good problem solving skills
  • Takes ownership of tasks assigned to ultimate resolution.
  • Accuracy and timeliness of delivering solutions using the best IT standards and practices
  • BI/Analytical skills