FBS Analytics Engineer

Capgemini; Brasil; Presencial; BRL 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Health and dental insurance

Pension plan

Meals tickets

Life insurance

Career development and training

Resumo da oferta

Capgemini, acting as Employer of Record for Farmers, seeks an Analytics Engineer to design and implement scalable data pipelines and semantic data models. You will partner with analysts, data scientists, and stakeholders to translate business needs into robust data solutions.

Qualifications include 5+ years in analytics engineering, strong SQL/Python, and expertise in PowerBI with DBT/ELT tooling. This role emphasizes collaboration across a diverse, global team within a dynamic

Qualificações

• 5+ years of experience in Analytics Engineer or relevant field.
• Experience with SQL and Python.
• Advanced knowledge of PowerBI (Power Query and DAX).
• 4+ years of experience with pipeline automation tools (Fivetran would be a plus).
• Strong knowledge of DBT or other ELT frameworks/tools (Apache AirFlow).
• Strong English communication skills.

Responsabilidades

• Pipeline Design and Development; Architect and build scalable data pipelines using ELT tools like DBT.
• Automates data ingestion processes from databases, APIs, and third-party services.
• Data Storage and Management - design data warehousing solutions using Snowflake.
• Optimizes storage solutions for performance, cost efficiency, and scalability.
• Data Modeling - develop logical and physical data models for analytics.
• Creates and manages dimensional models, star/snowflake schemas, and other data structures.
• Transforms raw data into clean, analytics-ready datasets using SQL, Python, or other languages.
• Implements data transformation workflows for cleansing, normalization, and enrichment.
• Collaborates with data analysts/scientists and business stakeholders to gather data needs.
• Liaises between technical teams and business units to translate requirements.

Conhecimentos

SQL

Python

PowerBI

ELT pipelines

DBT

English communication

Ferramentas

DBT

Apache AirFlow

Fivetran

Snowflake

Descrição da oferta de emprego

FBS - Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today's competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don't have a local legal entity, we've partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Work with stakeholders to gather requirements and construct gold/semantic level data models from mart and staging layers. Building data pipelines, provide SME to team members on semantic layer, construct DBT models from scratch for automation

Responsibilities

• Pipeline Design and Development; Architects and builds scalable data pipelines using modern ELT (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar.
• Automates data ingestion processes from various sources including databases, APIs, and third party services.
• Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake
• Optimizes storage solutions for performance, cost efficiency, and scalability.
• Data Modeling - Develops and maintains logical and physical data models to support business analytics.
• Creates and manages dimensional models, star/snowflake schemas, and other data structures.
• Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages.
• Implements data transformation workflows to handle data cleansing, normalization, and enrichment.
• Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs.
• Acts as a liaison between technical teams and business units to translate business requirements into technical specifications.

Requirements

• 5+ years of experience working in Analytics Engineer or relevant
• Experience working with SQL and Python
• Advanced knowledge of PowerBI (Power Query and DAX)
• 4+ years of experience with pipeline automation tools (Fivetran would be a plus)
• Strong knowledge of DBT or other ELT frameworks/tools (Apache AirFlow).
• Strong English communication skills

Nice to Have

• Experience working with Microsoft Fabric
• Experience in Insurance or Financial Services

Benefits

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Dynamic and inclusive work culture within a globally renowned group
• Private Health and Dental Insurance
• Pension Plan
• Meals tickets
• Life Insurance