FBS Data Engineer - SQL / Snowflake

Capgemini; São Paulo; Híbrido; BRL 100.000 - 150.000; Tempo integral

Resumo da oferta

A global technology leader seeks a Data Engineer in São Paulo to develop data engineering solutions, translating business requirements into technical products. Ideal candidates should have 4-6 years of experience, insurance background, and proficiency in SQL and Python. This role offers a competitive salary and comprehensive benefits packages including flexible work arrangements and career development opportunities.

Serviços

Competitive salary

Performance-based bonuses

Comprehensive benefits package

Home Office model

Career development and training opportunities

Flexible work arrangements

Private Health Insurance

Pension Plan

Paid Time Off

Qualificações

• Minimum 4-6 years of total work experience.
• Fluent in English is a must.
• Necessary background in insurance.
• Proficient with data analytics core tools.

Responsabilidades

• Understand and analyze business data stories.
• Design, build, and implement data products.
• Translate business requirements into technical solutions.

Conhecimentos

Fluent in English

Communication

Problem solving

Attention to detail

Data Analysis and Profiling

Formação académica

Bachelor's degree

Ferramentas

SQL

Python

Power BI

DBT

Excel

Descrição da oferta de emprego

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.

As a Data Engineer, you will be responsible to understand, analyze & translate business data stories into a technical stories breakdown structure. As a Data Engineer, capable in design, build, test and implement data products of varying complexity, with limited coaching and guidance.

Overview

This position involves developing data engineering solutions to translate business requirements into technical data products, with design, build, test and implementation responsibilities.

Responsibilities

• Understand, analyze and translate business data stories into technical breakdowns.
• Design, build, test and implement data products of varying complexity with limited coaching and guidance.

Qualifications

• Total Work Experience: Minimum 4-6 years; Preferred: 4-6 years
• English Proficiency: Fluent
• Insurance Background: Necessary
• Required Education: Bachelor
• Data Analytics Core Tools: Proficient with Excel, PowerPoint, Power BI, Python and SQL
• Other Critical Skills: Cloud computing concepts; API; Open Source Data Products; Data Analysis and Profiling
• Software / Tool Skills:
  SQL / Snowflake — Advanced (5+ years); DBT — Advanced (2+ years); Python — Advanced (2+ years); Power BI — Intermediate (3+ years); Mainframe ZOS, JCL/PROC, COBOL — Intermediate (4-6 years); Microsoft Office — Intermediate (4-6 years); Shell Scripting — Entry Level (1-3 years); ETL Tools — Entry Level (1-3 years)
• Soft skills: Communication, problem solving, attention to detail

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.