FBS Analytics Engineer at Capgemini Portugal

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, ETL Pipeline Building, Data Governance, Data Management, Data Mining, Data Engineering, DevOps, MLOps, Data Validation, Anomaly Detection, Business Analysis, Data Products, Data Delivery, Cloud Experience, Insurance Background

Industry

IT Services and IT Consulting

Description

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 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 This position comes with competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Home Office model Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally known group Private Health Insurance Pension Plan Paid Time Off Training & Development *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.

Responsibilities

The FBS Analytics Engineer will create and iterate on data products and develop pipelines for ongoing data delivery. They will also assist in transitioning from outdated technologies to enterprise standards and work closely with data analysts and business stakeholders.