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Data Engineer - Graebel Companies Inc.
Data Engineer
Seeking a Data Engineer to design, build, and maintain scalable data pipelines and warehouses using Python, SQL, AWS, Snowflake, and Airflow, enabling data‑driven decision making across the organization.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from multiple sources.
- Build and optimize data models and warehouses on Snowflake to support analytics and reporting.
- Implement workflow orchestration using Apache Airflow for reliable, scheduled data processing.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Monitor, troubleshoot, and improve performance of data pipelines and cloud infrastructure on AWS.
Requirements
- 3+ years of hands‑on experience in data engineering, preferably in a cloud environment.
- Proficiency in Python for data manipulation and automation.
- Strong SQL skills and experience with relational databases and data warehousing concepts.
- Experience with AWS services (e.g., S3, Redshift, Lambda) and Snowflake.
- Familiarity with workflow orchestration tools such as Apache Airflow.
Skills
pythonsqlawssnowflake