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)
Data Engineer • Alemanha, Sergipe, Brazil