Associate Data Engineer

The selected candidate will work with modern data platforms and tools, gaining hands-on experience in building, maintaining, and optimizing data pipelines using technologies such as Snowflake, Matillion, AWS, and Kubernetes.

• Assist in building and maintaining ETL/ELT data pipelines using Matillion or similar tools
• Work with Snowflake to store, process, and analyze data
• Write, optimize, and maintain SQL queries for large datasets
• Perform data extraction, transformation, and loading from multiple sources (APIs, S3 files, databases)
• Monitor and troubleshoot data workflows and pipelines
• Support scheduling and automation of jobs using orchestration tools
• Ensure data quality, consistency, and reliability
• Collaborate with team members and stakeholders to understand data requirements
• Maintain proper documentation for data processes and workflows
• Work in a fast-paced, collaborative environment while demonstrating ownership, analytical thinking, and problem-solving skills

• Continuously learn and adapt to new technologies, tools, and data engineering practices

• Bachelor’s degree in Computer Science, Information Technology, or a related field

• 0–1 years of experience, including internships, certifications, academic projects, or hands-on exposure in Data Engineering
• Strong understanding of SQL, including joins, aggregations, and query optimization fundamentals
• Basic knowledge of Python or any scripting language
• Understanding of ETL/ELT and data warehousing concepts
• Familiarity with Linux/Unix commands and environments
• Basic understanding of cloud platforms, preferably AWS services such as S3, EC2, and Lambda
• Exposure to Snowflake and Matillion or similar ETL/data integration tools
• Knowledge of scheduling and orchestration tools such as Airflow or cron
• Understanding of APIs and data formats such as JSON and CSV
• Familiarity with version control tools such as Git
• Strong analytical mindset, attention to detail, communication skills, and teamwork capabilities

• Ability to quickly learn new technologies and work effectively in a dynamic environment