Join to apply for the Semi Senior Data Engineer role at Procalidad Analytics . 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. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology #J-18808-Ljbffr