Required Skills

analytics data science

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 21st Sep 2022

JOB DETAIL

  •  Acts as the principal builder of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform

  • Applies deep technical knowledge of data modelling and best engineering practices

  • Independently delivers results, creating value for the client brand, customers, and key internal stakeholders. Works with external (and offshore) resources as required

  • Leads the design, implementation, and automation of data pipelines sourcing data from internal and external systems, transforming the data for the optimal needs of various systems and business requirements

  • Leads robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing

  • Actively adheres to established quality and reliability standards, and ensures the team adheres to the same quality and standards working in an Agile development environment

  • Leads the design of complex physical data models, projects, and cloud-based data lake constructs including SQL/NoSQL database systems. Leads the creation of integrated data views based on business or analytics requirements

  • Researches and leads the identification and implementation of process improvements that address complex technology gaps. Builds strong knowledge of technology enablers

  • Leads the design and building of data solutions and applications that enable reporting, analytics, data science, and data management

  • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of client application development processes and standards

  • Applies machine learning to work as applicable

  • Thought Leadership and innovation - bring ideas and concepts that will allow us to continue evolving our design patterns and standards in our quest to continue to deliver value to our customers in efficient ways

  • Exhibit leadership in mentoring and supporting junior data engineers

Company Information