FBS SR Analytics Engineer

Reposted 25 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
Mid level
Information Technology
The Role
The role involves creating data products, developing ETL pipelines using Python and SQL, and ensuring data quality. Collaborating with analysts and stakeholders is essential.
Summary Generated by Built In

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

Key Responsibilities

•Create and iterate on data products and develop pipelines that can be utilized to provide this data on an on-going basis. 

•Assist in enhancing data delivery across PL and Distribution. 

•Assist with pivoting from antiquated technologies to enterprise standards.

•Responsible to understand, analyze & translate business data stories into a technical stories' breakdown structure.

•Design, build, test and implement data products of varying complexity, with limited coaching and guidance.

Design, build, and maintain ETL/ELT pipelines using Python and SQL

•Develop data validation scripts in Python

•Write SQL queries to detect anomalies, duplicates, and missing values

•Work closely with data analysts, scientists, and business stakeholders


Requirements
  • 3 to 5 years of experience as a Data Engineer
  • Full English fluency
  • BS in computer Engineering, Information Systems' Data Science, Advanced Analytics, Data Engineering, ML Ops or similar
  • Insurance Background - Desirable

Technical & Business Skills

  • Python - Intermediate (1-3 Years) MUST
  • Understanding Devops, MLOPS (MUST)
  • ETL Pipeline Building (MUST)
  • SQL - Intermediate (4-6 Years) MUST
  • AWS Cloud Experience (Desirable)
  • Data Governance and Management
  • Data Mining and Engineering

Benefits

This position comes with competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Home Office model
  4. Career development and training opportunities
  5. Flexible work arrangements (remote and/or office-based)
  6. Dynamic and inclusive work culture within a globally known group
  7. Private Health Insurance
  8. Pension Plan
  9. Paid Time Off
  10. Training & Development
  11. *Note: Benefits differ based on employee level

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

Top Skills

AWS
ETL
Python
SQL
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The Company
HQ: Paris
340,000 Employees
Year Founded: 1967

What We Do

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

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