Hybrid Python Specialist, Data – Mid-level

Posted 3 hours ago

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About the role

  • Data Engineer using Python to create data solutions that drive business growth. Develops pipelines and collaborates with cross-functional teams for insights.

Responsibilities

  • Create data solutions that unlock business growth
  • Develop and maintain data pipelines in Python
  • Process, clean, and organize large volumes of data
  • Build integrations across different sources (APIs, databases, files)
  • Optimize queries and processes for performance and cost
  • Collaborate with analysts and data scientists on projects
  • Ensure data quality, governance, and documentation
  • Support business decisions with analyses and insights

Requirements

  • Strong experience with Python for data (pandas, SQLAlchemy or similar)
  • Proficiency in SQL and relational data modeling
  • Experience with ETL/ELT and production data pipelines
  • Experience with cloud environments (AWS, GCP, or Azure)
  • Familiarity with version control (Git) and coding best practices
  • Previous mid-level experience in data roles (Engineering, Analysis, or Science)
  • Availability for a hybrid work model and employment under CLT (Brazilian labor law)
  • Plus: Experience with orchestration tools (Airflow, Prefect, Dagster)
  • Knowledge of data lakes, data warehouses, and modern data architecture
  • Basic knowledge of machine learning and MLOps
  • Experience with BI tools (Power BI, Looker, Tableau, or similar)

Benefits

  • Hybrid work model
  • Passion for turning data into decisions with real impact
  • Collaborative culture with a focus on innovation

Job title

Python Specialist, Data – Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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