FBS Associate Analytics Engineer

Overview

Analytics Engineer role within the Service Analytics and AI organization, designing and maintaining scalable data pipelines and analytics solutions that support Advanced Analytics, Business Intelligence and Data Science initiatives.

What you'll do

• Develop and deploy scalable, robust data pipelines to ensure seamless data integration and processing across diverse systems.
• Participate in code reviews, provide constructive feedback, and contribute to continuous improvement of coding practices and methodologies.
• Design, build and maintain robust ETL/ELT pipelines, reusable frameworks and libraries to process and transform data from diverse sources.
• Implement CI/CD pipelines to streamline deployment, testing and maintenance of analytics engineering processes.
• Partner with data scientists, engineers, analysts, product managers and business stakeholders to understand requirements.
• Perform SQL development, query optimization, complex transformations and large-scale data processing.
• Design and develop enterprise-scale data solutions using Snowflake, including performance tuning, data sharing, tasks, streams and modern platform capabilities.
• Build scalable transformation frameworks, reusable business logic, testing, documentation and deployment pipelines using dbt.
• Work with star schemas, conformed dimensions, historical tracking, KPI frameworks and analytical data models.
• Manage data quality, lineage, metadata, testing, observability and model lifecycle.
• Deliver data products within Agile product teams and modern cloud environments.

What you'll need

• 2+ years of experience working as an Analytics Engineer or equivalent.
• Hands-on experience with SQL, SQL Server and Python.
• Proven experience designing and building scalable data pipelines.
• Expertise in ETL/ELT processes, data modeling and integration of data from multiple sources into a data warehouse.
• Problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.

Nice to have

• Experience working with Snowflake and dbt.
• Knowledge of orchestration tools such as Airflow.

Details

• Location: Brazil.
• Work arrangement: flexible (remote and/or office-based).
• Capgemini acts as Employer of Record, managing local payroll and benefits.