Senior Manager|Gurugram|4+ Yrs

  • HuQuo
  • India, G...
  • 4 - 9 Yrs

Job Description

  • Required - Hadoop/Hive, Python, Spark
  • 6+ years hands-on experience working with Big Data Platforms such as Cloudera, Hortonworks, or MapR
  • Python & ML modeling experience is a plus
  • Experience with using the Agile approach to deliver solutions
  • Experience with handling large and complex data in Big Data Environment
  • Experience with designing and developing complex data products and transformation routines
  • Experience of working in financial services and risk analytics domain, a plus
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Outstanding written and verbal communication skills

Job Responsibilities

  • Design, build and deploy advance analytics models aimed to improve fraud risk strategies of clients using Hadoop technology stacks and programming languages such as Hive, PySpark, Python, Spark & shell
  • Design, build and deploy an anomaly detection tool to identify suspicious transaction behavior of accounts
  • Develop a monitoring & alert mechanism for the anomalies using shell scripts
  • Design, build and deploy self-serve reporting tool across business functions and clients
  • Design complex algorithm and apply machine learning and statistical methods on large datasets for reporting, predictive and prescriptive modeling
  • Develop and implement coding best practices using Hadoop/Hive, Python, and PySpark
  • Collaborate with offshore and onshore team and effectively communicate status, issues, and risks daily
  • Review and propose new standards for naming, describing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data products within the enterprise
  • Analyze existing and future data requirements, including data volumes, data growth, data types, latency requirements, data quality, the volatility of source systems, and analytic workload requirements


Gurgaon, Haryana, India