We are looking for highly motivated IT Data Engineer to support development of scalable, reliable, and secure data infrastructure that drives operational efficiency

• Design, develop, and maintain data pipelines while automating data extraction, transformation, and update processes from multiple data sources.
• Integrate data from multiple sources (databases, Excel files, APIs, and external systems) into a centralized data warehouse platform while ensuring data integrity and consistency.
• Develop efficient data models and manage data storage across on-premise and cloud environments
• Perform data cleaning, transformation, validation, and monitoring to maintain high data quality and pipeline reliability.
• Implement data governance, security, access control, metadata management, and data lineage practices.
• Maintain and troubleshoot workflow orchestration processes using Apache Airflow or similar scheduling tools

• Bachelor’s degree in Information Technology, Computer Science, Information Systems, Statistics, or related field.
• Minimum 1 year of experience in Data Engineering, ETL/ELT development, Data Warehouse, or related data platform roles. Experience in mining, manufacturing, or energy industries is preferred.
• Proficient in SQL and Python. Experience with Go or Java is a plus.
• Hands-on experience developing, maintaining, and troubleshooting Apache Airflow workflows (DAGs) in production environments.
• Familiarity with Apache Spark for large-scale data transformation and data processing.
• Experienced in building and maintaining ETL/ELT pipelines and integrating data from multiple sources such as relational databases, Excel files, APIs, and external systems.
• Experience with Data Warehouse platforms and database management (PostgreSQL, SQL Server, MySQL, MongoDB, etc.).
• Understanding of Data Warehouse concepts and data modeling principles.
• Strong analytical thinking, problem-solving skills, communication skills, and attention to detail.