remote
Data Engineer I - Bayer
Data Engineer
Entry‑level Data Engineer responsible for designing, building, and maintaining data pipelines on cloud platforms, leveraging Python, SQL, and modern ETL tools to enable reliable analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines to ingest and transform data from multiple sources.
- Implement data models and storage solutions using Snowflake and relational databases.
- Automate workflow orchestration with Apache Airflow, ensuring reliable job scheduling and monitoring.
- Collaborate with data scientists and analysts to provide clean, well‑documented data sets for analytics and machine‑learning projects.
- Apply best practices for data quality, security, and performance on AWS cloud services.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proficiency in Python programming and SQL query writing.
- Hands‑on experience with ETL concepts and tools (e.g., Airflow, dbt).
- Familiarity with cloud platforms, preferably AWS, and data warehousing solutions such as Snowflake.
- Strong problem‑solving skills and ability to work in a collaborative, fast‑paced environment.
Skills
pythonsqlawssnowflakeairflow