Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
DataLab is the research and innovation unit of the Experian group in Latin America, working alongside Serasa Experian in Brazil. Our goal is to be proactive, anticipating the future, and consultative, identifying opportunities for market evolution through Artificial Intelligence and Machine Learning techniques combined with the use of new data sources.
We create advanced, innovative solutions that help clients and the market prepare today for a tomorrow of more assertive decisions. In addition to having a 360º view to exchange with the best in the global sphere, we consider the whole and produce solutions capable of achieving great scalability.
We are looking for an analytical and experienced mind to lead the evolution of our data infrastructure. You will be the key player in building scalable architectures, ensuring that our data is not just stored, but transformed into a competitive advantage.
Key Responsibilities
- Data Lake Architecture: Design, implement, and maintain modern Data Lake and Lakehouse architectures, ensuring scalability, resilience, and cost-effectiveness.
- Data Pipeline (ETL/ELT): Build and optimize real-time (streaming) and batch data ingestion flows, ensuring information integrity and low latency.
- Governance and Quality: Establish Data Quality standards, data lineage, and security/privacy policies (LGPD) across the entire ecosystem.
- Technical Mentorship: Act as a reference for the team, disseminating development best practices (Clean Code, CI/CD) and assisting in solving complex problems.
- Performance Optimization: Identify bottlenecks in large-volume data processing and propose structural improvements to gain performance in queries and jobs.
Requirements and Qualifications
- Proven Experience: Minimum of 7 years of experience working directly in Data Engineering, with a track record in high-complexity and large-scale environments in cloud environments (preferably AWS).
- Tool Proficiency: Advanced experience with Apache Spark (PySpark/Scala) and workflow orchestrators (such as Airflow, Prefect, or Dagster).
- Programming Languages: Fluency in Python or Scala, as well as proficiency in SQL for data manipulation and analysis.
- Data Modeling: Knowledge of dimensional modeling techniques.
- Infrastructure as Code (IaC): Knowledge of Terraform or similar tools for provisioning data resources.
- Agile Mindset: Familiarity with agile methodologies and DevOps culture applied to data (DataOps).
Qualifications
- Robust experience in Data Engineering
- Apache Spark
- Python or Scala
Additional Information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here