Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Sun Life Financial
Job Description of the Cloud Data Engineer Role
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 & architecting data solutions using the AWS
components.
Mandatory Skill Set-AWS, Data Engineering
Preferred Skill Set-AWS, Data Engineering
Year of experience required-4 - 8
Qualifications-B.E / B.Tech / MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date