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Sun Life Financial, Inc.

Data Cloud engineer

Sorry, this job was removed at 03:02 p.m. (GMT) on Friday, Nov 15, 2024
Remote
Remote

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Job Description:

Please enter the external job description here (remove this line)

Job description (heading) / Description du poste (titre)

  • 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.

Preferred skills (heading) / Compétences particulières (titre)

  • 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.

Qualifications (heading) / Compétences (titre)

  • 5+ years of experience in Data
  • College graduate degree from reputed organization
  • Good communication skills.
  • Team Player.
  • Strong Analytical, Mathematical and logical capabilities
  • Exposure to Customer Communication and Management

Responsibilities (heading) / Responsabilités (titre)

  • 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.

Job Category:

Advanced Analytics

Posting End Date:

29/11/2024

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