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Job Description

Capgemini in Atlanta, GA (hybrid) is seeking a Data Analytics Engineer with a salary range of USD 103,330 - 128,656 per year.

Responsibilities

  • Collaborate with business stakeholders to define key metrics, KPIs and data requirements
  • Design, build and maintain efficient data pipelines and ETL processes to support analytics and reporting
  • Translate complex datasets into clear business oriented insights and recommendations
  • Develop and maintain dashboards, reports and visualizations
  • Ensure data accuracy, consistency and governance across platforms
  • Conduct deep dive analyses to uncover trends, risks and opportunities
  • Partner with data scientists, product managers and business teams to support strategic initiatives

Requirements

  • Bachelors degree in Computer Science, Data Engineering, Statistics or a related field
  • 8 years of experience in data engineering and analytics roles
  • Strong proficiency in SQL Analytics tools
  • Proven experience in financial services and wealth management domains with expertise in stock plans, financial data, Crypto and related business processes
  • Hands on experience with data warehousing solutions such as Snowflake
  • Solid understanding of data modeling, architecture and governance principles
  • Excellent communication and collaboration skills

Technologies

  • SQL Analytics tools
  • Snowflake
  • Dataiku
  • AWS
  • Azure
  • GCP

Preferred Skills

  • Experience with cloud platforms e.g. AWS, Azure, GCP
  • Familiarity with Analytics tools such as Dataiku
  • Prior experience working with Wealth Management team

Benefits

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
  • Life and disability insurance
  • Employee assistance programs

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