Data Engineer

• Design, develop, and optimize ETL/ELT pipelines to ingest structured and unstructured data from multiple sources.
• Build and maintain data lakes, data warehouses, and databases to support analytics and business intelligence.
• Ensure data quality, reliability, and consistency across different environments.
• Implement and optimize SQL and NoSQL databases for performance and scalability.
• Collaborate with cross-functional teams to integrate data from various business systems.
• Assist in exploring, building and deploying AI/LLM solution in business environment
• Support in turning business needs into fit-for-purpose AI solutions and drive adoption with cross-functional teams

Qualifications

• Strong proficiency in SQL and hands-on experience with relational databases.
• Solid understanding of data modeling, warehousing concepts, and performance tuning.
• Hands-on experience with ETL tools (e.g., Talend, Informatica, dbt, Airflow, etc.).
• Strong problem-solving skills with the ability to work in an agile, fast-paced environment.
• Experience with version control (e.g., Git) and workflow orchestration tools (e.g., Airflow, Prefect, Luigi) is a plus.
• Practical knowledge of AI/LLM use cases, limitations, and implementation in business environments.