onsite
Forward Deployed Data Engineer - Jobgether
Data Engineer
Customer‑facing data engineer who leads large‑scale data platform migrations, leveraging Python, SQL, AWS and Snowflake while automating workflows with Airflow and applying advanced data modeling techniques.
About the role
Key Responsibilities
- Lead end‑to‑end data platform migration projects for enterprise clients, from scoping and design through implementation and post‑go‑live support.
- Develop and maintain automated data pipelines using Python, SQL and Apache Airflow to ensure reliable, repeatable data movement.
- Architect scalable data solutions on AWS (e.g., S3, Redshift, Glue) and Snowflake, applying best practices for performance, security, and cost optimization.
- Collaborate with client stakeholders and internal consulting teams to translate business requirements into technical specifications and data models.
- Implement AI‑driven automation tools to accelerate migration tasks, monitor data quality, and generate actionable insights.
Requirements
- 3+ years of professional experience in data engineering, with a strong focus on cloud data platforms (AWS, Snowflake) and pipeline orchestration (Airflow).
- Proficiency in Python and SQL for data transformation, scripting, and automation.
- Hands‑on experience designing data models, ETL processes, and data warehousing solutions at scale.
- Demonstrated ability to work directly with customers, gather requirements, and deliver technical solutions in a consulting environment.
- Strong problem‑solving skills, excellent communication, and a proactive attitude toward continuous improvement.
Skills
pythonsqlawssnowflakeairflow