Big Data Engineer/Architect with MDM

  • Primesoft
  • Two Prudential Plaza, 180 N Stetson Ave #2400, Chicago, IL 60601, USA
  • Nov 09, 2020
[Information Technology]

Job Description

Role : Big Data Engineer/Architect with MDM

Exp : 10+ Years

Location : Chicago , IL or CST Preferred

Visa : Other than Opt's

MOI : Phone + Skype

Skills Required

  • BS in Computer Science or equivalent education/professional experience is required

  • Total It Experience with 10+ Years and m ore than 7+ years of experience in Big Data application development

  • Recent MDM expertise Mandatory

  • Experienced in master data management and building customer 360 degree views

  • Hands-on experience with the Hadoop stack (Hadoop MR, Hdfs, Pig, Hive, Sqoop) Experienced in computation frameworks like Spark, Storm, Flink using Java/Scala

  • More than 2 years' experience in working on Big Data application in cloud environment using either AWS, Azure or Google cloud platform

  • Excellent understanding of common data technologies

  • Experienced in in Hadoop eco-system with one or more distribution like Cloudera and Horton Works

  • Well versed with streaming data processing using Kafka, Spark Streaming, Storm etc. Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases

  • Well versed with Software as a service, Platform as a service and Infrastructure as a service concept

  • Experienced in multi-dimensional modeling like start schema, snowflakes, normalized and denormalized models

  • Experienced in one or more ETL, BI, Analytics and advanced visualization technologies Knowledge in cloud and social media technologies and integrations

  • Strong analytical and problem solving skills

  • Strong communication skills verbal, written and visual presentations

  • Strong coordination and negotiation skills

  • Multi-geo experience and distributed delivery experience in large programs



sundeep.b (at) primesoftinc (dotcom)

- provided by Dice
Associated topics: data administrator, data analyst, data integrity, data quality, data warehouse, data warehousing, database, database administrator, mongo database, mongo database administrator