Senior Data Engineer

🕒 August 10

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Develop and maintain scalable, efficient data pipelines in PySpark • Migrate and modernize legacy processes to distributed processing architectures • Implement data processing solutions in an AWS environment • Collaborate with product teams and Data Office analysts to detail requirements and business rules • Optimize data architectures with consideration for performance, governance, and cost • Participate in automation, observability, and continuous improvement initiatives • Build new Data Products and apply complex data transformations • Support the data quality team with monitoring applications and dashboard development • Work on large-scale data ingestion, cleansing, and prioritization workflows

🎯 Requirements

• Bachelor's degree or higher • Strong experience with PySpark and distributed processing frameworks • Knowledge of Apache Airflow, Spark, and Hadoop (where applicable) • Proficiency in programming languages, preferably Python • Experience with relevant AWS services such as EMR, Lambda, DynamoDB, and S3; Glue is a plus • Knowledge of SQL databases • Familiarity with DevOps practices and CI/CD pipelines • Experience with infrastructure provisioning (IaC) — a plus • Experience with agile methodologies — a plus • Previous experience migrating legacy processes to distributed architectures — a plus • Applied knowledge of Machine Learning and AI agent architectures • Ability to handle complex problems and understand business rules • Critical thinking and a focus on efficiency • Passion for optimization and continuous improvement • Clear communication and effective collaboration across teams • Results-oriented mindset • Fast learner with adaptability to technological changes • Affirmative action position for women

🏖️ Benefits

• Remote work • Equal opportunity and affirmative action • Development opportunities through the Women in Experian group • Exposure to diverse perspectives and opportunities for skills development • Participation in gender equity and female leadership initiatives