Data Engineer

About the role

GenLogs is seeking a Data Engineer to design, build, and maintain robust data pipelines that power real‑time freight intelligence. You will work at the intersection of engineering, data science, and logistics, turning raw sensor streams into actionable insights for supply‑chain customers and public‑sector agencies.

Key responsibilities

• Build and maintain ETL/ELT pipelines using Python and SQL.
• Develop ingestion workflows with AWS Firehose, S3, and related services.
• Create, test, and optimize dbt models and incremental logic.
• Tune Snowflake queries and warehouse usage for cost efficiency and performance.
• Operate and improve Airflow DAGs for reliable execution and monitoring.
• Ensure high data quality, integrity, and adherence to pipeline SLA commitments.
• Design feature pipelines to support machine‑learning workflows and automate model retraining.
• Add data validation and quality checks across ML and analytics pipelines.

Required profile

• 3+ years of experience in data engineering or software engineering.
• Strong Python and SQL programming skills.
• Hands‑on experience with Snowflake, AWS Firehose/S3, Airflow, and dbt.
• Ability to work independently in a fast‑moving environment.
• Excellent problem‑solving abilities and attention to detail.

Required skills

• Python
• SQL
• Snowflake
• AWS Firehose
• Amazon S3
• Airflow
• dbt