Data Technology Consultant

apartmentEPAM placeChennai calendar_month 

Job Description

We are seeking a skilled Data Technology Consultant to lead and design impactful large-scale data-driven solutions that align with business goals and data strategies. With a focus on innovation, collaboration and technical excellence, you will drive data strategies, product development and deliver high-value outcomes for clients.

Responsibilities
  • Design and evolve large-scale data-driven solutions
  • Lead the definition of the north-star business vision and data strategy
  • Own the definition of as-is and to-be states while recommending solutions to maximize business outcomes
  • Advise on operating models and required business changes
  • Oversee at least one account or client engagement
  • Contribute to defining and measuring business value and ROI for medium and large-scale engagements
  • Drive medium or large-complexity data product development or lead discovery and migration activities as a Consulting Manager
  • Monitor adoption of data products through usage, user satisfaction and monetary impact
  • Plan and manage product and engagement team activities
  • Produce high-quality deliverables that meet client objectives and are well received
  • Define enterprise data strategy and roadmap for BFSI/Retail clients
  • Conduct data maturity assessments and architecture reviews
Requirements
  • 15+ years of experience in the data domain including 5+ years as a Data Consultant
  • Background in retail domain analytics including demand forecasting, inventory optimization and supply chain analytics
  • Expertise with data products covering data modeling and technical design
  • Understanding of data governance and data architecture concepts
  • Exposure to requirements engineering, solution architecture and systems development
  • Knowledge of data and analytics platform architectures, data warehousing and data management
  • Capability to design, deploy, troubleshoot and re-platform distributed systems on premises and in the cloud
  • Familiarity with architecture design processes including quality attributes, technology selection and estimation
  • Competency with cloud platforms such as Azure, AWS or GCP
  • Background in data platforms like Databricks, Snowflake or BigQuery
  • Skills in Python and SQL
  • Proficiency with BI analytics tools such as Power BI, Tableau or Looker
  • Fluent English and excellent communication skills
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