Offer summary

Qualifications:

Degree in Systems Engineering, Computer Science, Data Science, Industrial Engineering, or related fields., 4+ years of experience in designing, developing, and optimizing data pipelines., Strong proficiency in Python and SQL, with hands-on experience in ETL processes., Advanced English (B2+) for effective communication in an international environment..

Key responsabilities:

Design, develop, and optimize scalable and efficient data pipelines.

Maintain and improve ETL processes for data ingestion, transformation, and storage.

Implement data quality checks to ensure accuracy and consistency.

Collaborate with data scientists, analysts, and engineers to ensure smooth data flow.

Job description

📊 Data is the new gold, and we need a skilled Data Engineer to help us mine it! If you love building scalable data solutions, optimizing pipelines, and working with cloud technologies, this role is for you. Join a dynamic team where innovation, automation, and performance are at the heart of everything we do.

Required Qualifications:

🎓 Education: Degree in Systems Engineering, Computer Science, Data Science, Industrial Engineering, or related fields.
📌 Experience: 4+ years in designing, developing, and optimizing data pipelines.

🗣 Language: Advanced English (B2+) required for effective communication in an international environment.

Technical Expertise:

✅ Programming: Strong proficiency in Python (Pandas, NumPy, PySpark) and SQL (Snowflake, PostgreSQL, MySQL, SQL Server).
✅ Data Pipelines & ETL: Hands-on experience in designing, developing, and maintaining scalable ETL processes and data ingestion/transformation workflows.
✅ Databases: Experience with relational and NoSQL databases (MongoDB, Cassandra).
✅ Cloud & Big Data: Experience with AWS (S3, BigQuery, Snowflake) and familiarity with big data frameworks (Hadoop, Spark is a plus).
✅ DevOps & Orchestration: Experience with containerization (Docker, Git) and workflow automation tools like Airflow, Cron Jobs.
✅ Optimization & Performance: Strong knowledge of query optimization, database performance tuning, and best practices in data modeling.
✅ CI/CD Pipelines: Experience in building and maintaining CI/CD pipelines for data solutions.

Key Responsibilities:

📌 Data Pipeline Development: Design, develop, and optimize scalable and efficient data pipelines.
📌 ETL Optimization: Maintain and improve ETL processes for data ingestion, transformation, and storage.
📌 Data Quality & Validation: Implement data quality checks to ensure accuracy and consistency.
📌 Collaboration: Work closely with data scientists, analysts, and engineers to ensure smooth data flow.
📌 Performance Tuning: Optimize SQL queries for scalability and efficiency.
📌 Cloud Data Solutions: Leverage AWS, GCP, or Azure for data storage and processing.
📌 Automation & Monitoring: Automate workflows using Python scripting and monitor data pipelines for reliability and performance.

Soft Skills:

💡 Teamwork – Ability to collaborate effectively in a dynamic environment.
🎯 Problem-Solving – Proactive approach to identifying and solving data-related challenges.
⏳ Work Under Pressure – Ability to handle deadlines and ensure smooth operations.
📢 Communication – Strong assertive communication skills to interact with cross-functional teams.
🔍 Accountability & Responsibility – Ownership of tasks and commitment to objectives.

Required profile