23/08 Harsh Bhardwaj
Human Resources Team at HyrEzy Talent Solutions

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Associate Vice President - Data Scientist - ETL/Big Data (2-6 yrs)

Delhi Job Code: 483639

Job Title: AVP/VP-Data Scientist

Experience: 2-6yrs

Location: New Delhi

Total Positions: 4

BU/Function: Engineering

Reports To: Head-Data Science

Industry: FinTech / Banking / IT & Technology

Education: BE/BTech from Premier Institute

Functional Area: IT Software, Data Platform

Role: Individual Contributor

Employment Type: Permanent Job, Full Time

Job Purpose :

- The individual is expected to work on development and management of a Big Data platform which shall be used to handle billions of data points from various sources in real time.

- The platform serves multiple purposes - it is used for predefined and ad-hoc user generated queries, real-time Machine Learning algorithms and various business metrics and reports.

- The individual is expected to create the data flow pipeline and setup workflows to handle the various kinds of requirements being served by the platform.

- We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analysing of huge sets of data.

- The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

- Implementing ETL process and building, maintaining, monitoring the data pipeline

- Monitor data quality and enable system owned resolution channels

- Monitoring performance and advising any necessary infrastructure changes

- Ability to rationalnalize data science models through an operationalization platform version, archive, manage the model deployment

- Defining data retention policies

Skills & Knowledge :

- Experience in Big Data and Machine Learning Technologies/Frameworks

- Hands-on with Scala, Apache Spark, Hadoop, HDFS, MLlib, Airflow

- Ability to work in a container-based environment docker, kubernetes

- Experience with data science tools R and python

- Education / Qualification : BE / B.Tech from Premier Institute

Relevant Experience (Minimum) : 1 - 5 years

About Client :

Our Client is a one of the fastest growing big-data platform in the region, wherein its Technology Platform is driven by Deep Insights derived from Purchase Behaviour. The Proprietary Engine of the Platform is powered by ML, Deep Learning & AI, designed by some of the leading scientists across the globe.

The company leverages on multiple data sources across industries, to add value to its banking partners & drive ROI for them, marketers and other partners in the value chain. The venture is backed by serial entrepreneurs, senior bankers, product heads, data scientists, ad-tech & digital experts of leading companies, some of whom are noted alumni of Harvard Business School, IIM-A, IIT, leaders of Fortune 50 companies and others.

Headquarters : Delhi

Year Founded : 2016

Company Type : Privately Held

Company Size : 51-200 employees

Specialties : Fintech, Machine Learning, Artificial Intelligence, Big Data

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