EY | Hiring | CRL 2.0_Risk Data Engineer | BigDataKB.com | 1/19/2022

0

EY

Bangalore

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TSD_Risk Data Engineer/Leads – Bangalore/Gurugram


Description – External


Job Description: –

Looking for Manager/Senior Consultants with 6-13 years of experience in Cloud (any) with Data warehouse/ETL, SQL, Visualization skills. Good hand on experience in at least 3 combinations of the following

  • MS SQL / Oracle / MongoDB
  • SQL. NO-SQL / T-SQL
  • AWS, Azure, GCP
  • ETL Tools (SSIS, DataStage, Informatica, Talend)
  • Python, Spark, Scala
  • Tableau, POWER BI
Good to have risk applications knowledge along with cloud in any of the following areas

  • Financial/Enterprise Risk
  • Compliance Technology
  • Financial Crime Technology
  • Any cloud certification (Good to have)
Technology Required Skills: –

  • Managed design, development, testing and maintenance of the complete data management & processing systems.
  • At least 4 years’ experience leading Large scale data warehousing and analytics projects
  • Experience in building frameworks associated with Data mining, Data warehousing.
  • Implement effective metrics and monitoring processes and taking care of the complete ETL (Extract, Transform & Load) process.
  • Introducing new data management tools & technologies into the existing system to make it more efficient.
  • Hands-on experience in building data solutions, Design and build modern Data Lakes, Data Pipelines / Streams and Real-time Data Processing
  • Experience in Cloud platform in Azure/ GCP/ AWS.
  • Experience in moving legacy/on-premise ETL frameworks to Cloud.
  • Familiar with any of the standard industry technology stack for cloud based data management, ingestion, capture, processing and curation :

o Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala.
o Azure CI/CD, Azure Classic Pipelines, Azure YAML, ARM/ Terraforms/Ansible, AKS Maintenance, Azure ML, Pipeline integrations, Azure PaaS and IaaS, Azure Infra Experience (Spinning VM’s, Databases and Cosmos)


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