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You will be updated with latest job alerts via emailResponsibilities:
Experience in architecting, designing, and implementing a data and analytics solution at least in at least one cloud platform
Very good understanding of Cloud Data & Analytics solutions using native and 3rd party solutions
Very good understanding of Data Lake architecture, AWS services S3, Glue, Lambda, EMR, Redshift
Experience in Designing solutions leveraging Cloud native capabilities.
Experience in data modeling including logical and physical data models
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Engineer the AI/ML components to scale and handle the Integration into the larger ecosystem on Cloud or on Premise. Establish and communicate fit for purpose analytical platforms for business prototypes
Work closely with business analysts and data scientists.
Be the proactive and technical architect point person for the data platform end to end.
Lead innovation by exploring, investigating, recommending, benchmarking and implementing data centric technologies for the platform.
Collaborating within a project team to solve complex problems.
Lead by example coaching and mentoring those of your peers and mentoring less experienced team members. Operate as part of the extended management team.
Qualifications:
Skill Profile
Overall 12+ years in Data & Analytics area and 5+ years in various client facing roles
Excellent communications, presentation, articulation, and relation building skills
2-3 Hands-on Data platform migration experience using AWS services like S3, AWS Lambda, AWS Glue, EMR, Amazon Redshift
Strong Data & Analytics architecture / engineering background with program execution, operations, risk mitigation experience
Team player with ability to work in a dynamic environment
Full Time