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Engineering Manager - Big Data & AI @ Concentrix

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 Engineering Manager - Big Data & AI

Job Description

Ideal candidate will possess

  • 10+ years of application software development experience, at least 2 years in a Sr. Engineering Management role
  • Full lifecycle experience with create and maintain optimal data pipeline architecture,
  • assemble large, complex data sets that meets function / non-functional business requirements
  • Experience with Data Engineering role, successful history of manipulating, processing, and extracting value from large disconnected datasets
  • Advanced working SQL knowledge and working familiarity with a variety of popular relational SQL and NoSQL databases
  • Experience with Design and build near-realtime Data warehouse using hudi, Iceberg, spark 3 , flink , clickhouse , etc.
  • Experience Hadoop ecosystem tools relevant for real-time and batch data ingestion, processing and provisioning using tools such as Nifi, Kettle, ELK stack, hive, spark, flink, Azkaban, airflow, clickhouse, vertica
  • Experience with operation and maintenance work for algorithm model, model construction and data cleaning.
  • Experience coding and code control ability, solid data structure and algorithm skills, familiar with Java / Python / Scala, familiar with SQL;
  • Experience in Research and implement the advanced algorithm of artificial intelligence.

Job Classification

Industry: IT Services & Consulting
Functional Area: IT Software - Application Programming, Maintenance,
Role Category: Senior Management
Role: Senior Management
Employement Type: Full time

Education

Under Graduation: Any Graduate
Post Graduation: Post Graduation Not Required

Contact Details:

Company: Concentrix
Location(s): Bengaluru

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Keyskills:   Hive Software Development Relational Sql Scala Hadoop Big Data Spark Sql And Nosql Databases Python Optimal Data Pipeline Architecture

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Concentrix

A wholly owned subsidiary of SYNNEX Corporation (NYSE: SNX), Concentrix is a leader in high-value global business services. It partners with its clients to deliver end-to-end customer engagement services, technology innovations, analytics, process optimization, and business improvements. The global ...