Junior Data Engineer

📋 Description

• Assist senior engineers in building, maintaining, and improving data pipelines.
• Write, test, and optimize SQL queries to extract, transform, validate, and analyze data.
• Support batch data ingestion and basic ETL and ELT workflows using Python.
• Perform basic data quality checks and identify, document, and flag inconsistencies or anomalies.
• Support the maintenance and operation of cloud-based data warehouse or lakehouse environments such
• Document data flows, technical specifications, test cases, and other relevant engineering processes.

🎯 Requirements

• For fresh graduates: Bachelor's degree in Computer Science, Computer Engineering, Information
• For candidates with experience: 1–2 years of hands-on experience in data engineering, analytics
• Basic to working knowledge of SQL, including SELECT statements, JOINs, aggregations, and, for
• Basic to hands-on knowledge of Python programming.
• Understanding of relational databases, data structures, data warehousing concepts, tables, schemas
• For experienced candidates, exposure to PySpark is an advantage.

🎁 Benefits

• Full-time opportunity within an AI and data-focused engineering environment.
• Remote working arrangement.
• Strong mentorship and guidance from experienced data engineers.
• Hands-on exposure to modern data engineering tools, cloud data platforms, and engineering practices.
• Opportunity to work with technologies such as SQL, Python, Snowflake, Databricks, and cloud
• Practical experience supporting data pipelines, analytics, reporting, and AI-driven decision-making.