🛠 Tech Stack

💼 About This Role

You'll implement data pipelines and build Data Lake/Lakehouse layers for a financial services client. You'll transform scattered data into structured, valuable assets. This role offers autonomy within a collaborative architecture team.

🎯 What You'll Do

• Implement ELT/ETL pipelines from diverse data sources
• Build Bronze, Silver, Gold layers with Delta Lake and Parquet
• Develop data transformations using PySpark and advanced SQL
• Implement data quality tests and automated checks
• Support data cataloging and governance with lineage tracking

📋 Requirements

• PySpark experience for pipeline development
• Azure (Data Factory, ADLS Gen2, or Microsoft Fabric)
• SQL advanced for analytics and modeling
• Experience with Delta Lake or Parquet formats
• Experience with Data Lake/Lakehouse and Medallion Architecture

✨ Nice to Have

• Experience with Databricks or Snowflake
• Familiarity with Microsoft Fabric
• Knowledge of dbt or Airflow/Prefect

🎁 Benefits & Perks

• 🌍 Remote work from anywhere in Brazil
• 💼 Autonomy within defined scope
• 📈 Growth in a global tech company
• 🤝 Collaborative team environment
• 🏢 Office presence in Campinas if local

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min

🚩 Heads Up

• Position requires presence in Campinas but listed as remote
• Job title 'Senior' but described as 'MidSenior' and responsibilities sound mid-level
• Long list of requirements (10 items) mixed with nice-to-haves