onsite
Data Engineer - GFT TECHNOLOGIES
Data Engineer
Design and maintain scalable data pipelines and architectures, using Python, SQL, Airflow, and cloud services to ensure reliable ingestion, transformation, and access for analytics and business needs.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL/ELT pipelines for both structured and unstructured data sources.
- Build and optimize data lake and data warehouse solutions, leveraging cloud platforms such as AWS and Snowflake.
- Implement data integration workflows using tools like Apache Airflow to ensure reliable, scheduled data movement.
- Monitor data quality, enforce governance standards, and troubleshoot pipeline issues.
- Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into scalable data solutions.
Requirements
- Strong proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience with cloud data services (AWS, Snowflake, S3, Redshift, etc.).
- Proven experience designing and operating Airflow or similar workflow orchestration tools.
- Solid understanding of data modeling, warehousing concepts, and ETL/ELT best practices.
- Ability to work cross‑functionally, communicate technical concepts clearly, and prioritize tasks in a fast‑moving environment.
Skills
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