Data Engineer

About the role

Design, develop, and maintain ETL/ELT pipelines to support data integration and analytics requirements. Work with Snowflake for data storage, processing, transformation, and optimization. Integrate data from multiple sources into Data Warehouse and Data Lake environments.

Key responsibilities

• Design, develop, and maintain ETL/ELT pipelines to support data integration and analytics requirements.
• Develop and maintain Data Warehouse solutions, including data modeling and transformation processes.
• Work with Snowflake for data storage, processing, transformation, and optimization.
• Integrate data from multiple sources into Data Warehouse and Data Lake environments.
• Develop data processing and automation scripts using Python.
• Perform data extraction, cleansing, transformation, validation, and loading from various data sources.
• Monitor ETL/data pipeline performance and troubleshoot data processing issues.
• Ensure data quality, consistency, reliability, and accuracy across data pipelines.
• Optimize SQL queries and data processing performance.
• Collaborate with Data Analysts, BI Developers, Application Teams, and other stakeholders to understand data requirements.

About you

• Minimum Bachelor's Degree (S1) in Computer Science, Information Technology, Information Systems, or related field.
• Minimum 2–3 years of professional experience as a Data Engineer / ETL Developer or in a similar role.
• Hands-on experience in developing and maintaining ETL/ELT processes.
• Strong experience working with Data Warehouse concepts and implementation.
• Hands-on experience with Snowflake.
• Experience working with Data Lake architecture or environments.
• Proficient in Python, particularly for data processing, transformation, or automation.
• Strong proficiency in SQL, including complex queries and data manipulation.
• Good understanding of data modeling, preferably including Star Schema, Snowflake Schema, Fact Table, and Dimension Table.
• Familiar with data integration from various sources such as databases, APIs, flat files, or cloud storage.