Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
Job description
About the role
We are looking for a Senior Analytics Engineer to strengthen our data team. This person will be responsible for transforming raw data into reliable, scalable datasets and analytical models ready for consumption, supporting the construction of consistent metrics and data products.
We are seeking someone with strong experience in analytical layers, data modeling, and medallion architecture, as well as the ability to understand business rules and translate needs into efficient analytical solutions.
We expect a profile with excellent communication, influence capability, and close collaboration with squads and stakeholders, helping to spread a data-driven culture, promote best practices, and increase adoption and trust in data within the organization.
Responsibilities
- Build and evolve analytical data models and datasets for analytical and BI consumption.
- Define and evolve the medallion architecture, ensuring consistency, traceability, and data reusability.
- Translate business needs into metrics, rules, and standardized datasets.
- Ensure data quality, governance, and reliability across layers.
- Optimize query and model performance in Databricks/Delta Lake.
- Support adoption and correct use of datasets by consuming areas.
- Promote best practices in modeling, development, and analytical consumption.
Requirements
- Solid experience with SQL and Python.
- Practical experience with Databricks (Metric Views, Notebooks, Workflows, Databricks SQL, and Delta Lake).
- Strong experience in data modeling for analytics and semantic layer construction.
- Knowledge of Spark/PySpark.
- Experience with cloud environments (AWS, Azure, or GCP).
- Experience with Git and development best practices.
- Good communication and ability to interact with technical and business areas.
Differentiators
- Experience with Power BI.
- Knowledge of orchestration tools.
- Experience with data governance, observability, and quality.
- Experience with Unity Catalog.
- Knowledge of self-service analytics and governed metrics.
- Experience in the insurance segment.
Qualifications
Qualifications
- python
- databricks
- data modeling
- analytical layer
- sql
- communication
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we have more than 4,000 people working across diverse teams and specialties. Here, every skill and diversity complement each other and you can work on what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, prioritizing well-being.
We are dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals with a 4.6 rating on Glassdoor. Each recognition shows us that we are on the right path, providing an increasingly better work environment for our talents.
Experian Careers - Creating a better tomorrow together
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