ETL Data Engineer

About The Role

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms that support business intelligence, analytics, and data-driven decision-making. You will design robust data pipelines, develop efficient data models, and collaborate with cross-functional teams to deliver reliable, high-performance data solutions.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Develop conceptual, logical, and physical data models.
• Build and optimize ETL/ELT workflows using modern data engineering tools.
• Work with Snowflake, AWS, dbt, and Airflow to develop reliable data solutions.
• Optimize SQL queries and improve data processing performance.
• Collaborate with data engineers, analysts, data scientists, and product teams.
• Maintain data quality, governance, and documentation standards.
• Support Agile development practices and continuous platform improvements.

Requirements

• 5+ years of experience in Data Engineering.
• Strong expertise in Python and SQL.
• Hands-on experience with Snowflake, Airflow, and dbt.
• Experience with AWS services such as S3, Lambda, SNS, and SQS.
• Strong understanding of data modeling, ETL/ELT, OLTP & OLAP concepts.
• Excellent analytical, problem-solving, and communication skills.
• Bachelor's degree in Computer Science, Information Systems, or related field.