Data Engineer

Senior Data Engineer

Seniority Requirements

3–5+ years of professional experience in data engineering or related fields

Proven track record delivering solutions in commercial and / or consulting environments

Fluency in Portuguese and English (written and verbal) required

What You’ll Do

Design, develop, and optimize scalable data pipelines and distributed data systems

Build and maintain robust ETL / ELT workflows across multiple data sources

Lead analytics modules and clearly communicate technical outcomes to both technical and non-technical stakeholders

Partner with consulting and cross-functional teams to define delivery outcomes and technical architecture

Deliver production-ready solutions — from early-stage prototypes to enterprise-grade data platforms

Technical Requirements (Must Have)

Strong proficiency in Python and SQL

Experience with relational databases (PostgreSQL, MySQL, MariaDB, or similar)

Experience with NoSQL databases (MongoDB, Redis, Neo4j, or similar)

Hands-on experience with distributed systems (Spark, PySpark, Hadoop)

Cloud platform experience (AWS, Azure, or GCP)

Nice to Have

Workflow orchestration tools (Airflow, Data Factory, Glue, Prefect, Dagster)

Data warehouse experience (Snowflake, star schema modeling)

Streaming platforms (Kafka or similar frameworks)

Containerization (Docker, Kubernetes)

Azure Data Lake Storage

Data visualization tools (Power BI, Tableau, Looker)