JobDescription :
Responsibilities:
Acquire data from primary or secondary data sources
Leverage Big Data platforms/tool/technologies for optimizing current data processing pipelines
Ability to manage wide variety of data in different forms like structured and non-structured
Identify, analyze, and interpret trends or patterns in complex data sets
Innovate new ways of managing, transforming and validating data
Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
Come up with a holistic strategy for managing model's development, CI/CD, lifecycle, analytical workbench supporting models written in various prominent technologies
Define a roadmap for migrating existing models written in older technologies to newer platform
Come up with tools/technologies/platforms for enabling data assets for consumption by models and exposing to partners/clients via various channels
Explore opportunities for monetizing existing models and data assets via various channels like API, apps etc.
Build next generation cloud ready/native DevOps infrastructure supporting data analytics applications/API/platforms
Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget;
Experience of working in a development teams, using agile techniques and Object-Oriented development and scripting languages, is preferred
Comfortable learning cutting edge technologies and applications to greenfield projects
Qualifications:
Ability of defining enterprise level holistic technology strategy and roadmaps
Hands on experience of working with Big Data tools/technologies
Experience working on Cloud technologies for building the next generation data and analytics platform
Hands on experience of building the analytics workbench for different stakeholders
Experience of defining the security and entitlement model with necessary controls/governance
Strong Experience working on DevOps pipeline for models, analytics applications and APIs
Experience of working on service enabling data and monetization
Ability to work as an individual contributor
Sound oral/written communication skills
Working with various stakeholder including Scrum Masters, Project Managers, Content Analyst and DBAs, and data scientists
Solid experience in Agile methodologies (Kanban and SCRUM)
Strong leadership skills, e.g., written and verbal communication, organization, requirements elicitation and consensus-building
Grade: 13 (Internal Only)
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