Description

Job Description

The role is of Cloud data engineer who has hands-on experience AWS DMS, Glue and Athena. The candidate must be familiar at least in one Data ware housing concepts such as ODS/Marts and must have done at least one end to end data processing pipeline designing. Nice to have familiarity with AutoSys (job scheduler) and MDM (master data management). He/she should be capable of handling the ETL design and implementation solely and would work towards creating a positive and innovation friendly environment. The incumbent would be responsible to create new capabilities.
 

 
 

Roles & Responsibilities
 

 
 

  • Collaboration & coordination with multiple business partners.
     
  • Develop pipelines to ingest data from different sources such as Database, delimited files etc, do complex transformation and loading data into the S3.
     
  • Develop Glue mapping and create Glue data catalogue.
     
  • Implementation of Athena.
     
  • Can optimize Informatica for performance improvements.
     
  • SQLs capability for data analysis.
     
  • Able to handle the end-to-end ETL or ELT pipeline solely.
     
  • Ensuring the work is delivered on time and with quality.
     
     
     


 

Requirements

  • Extensive practical experience in Information Technology and software development projects of with at least 5+ years of experience in developing data warehouse systems.
     
  • Extensive experience in on cloud data technologies – in particular on AWS.
     
  • Strong understanding of ETL and data warehouse concepts processes and best practices.
     
  • Good understanding of Big data and cloud technologies
     
  • Possess a combination of solid business knowledge and technical expertise with strong communication skills.
     
  • Demonstrate excellent analytical and logical thinking.
     
  • Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situation.
     


Good to have
 

  • Understanding of Insurance Domain
     
  • Good understanding of Master Data Management and Data Governance.
     
  • Basic understanding of data visualization tools like SAS VA, Tableau
     
  • Good understanding of implementing & architecture data solutions using the AWS components
     


 

Key Skills
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