Louis Dreyfus Company is seeking a Data Engineer to join its expanding team of Data Analytics and AI. The successful candidate will architect and implement innovative data solutions that directly impact business decision-making and operational efficiency.
Requirements
- 2+ years of experience in data engineering roles with focus on data modeling, pipeline development, ETL/ELT, and analytics platform management
- Expert-level proficiency in SQL for complex queries, optimization, and performance tuning
- 1+ years of hands-on experience with Python for data engineering, including libraries such as Pandas, NumPy, PySpark, and data visualization tools (Plotly, Matplotlib)
- Proficiency with modern cloud data platforms (Azure preferred, AWS or GCP acceptable)
- Experience with data orchestration tools (Azure Data Factory preferred, Airflow, Prefect, Dagster)
- Understanding of DataOps, CI/CD pipelines, version control (Git), and infrastructure as code
- Bachelor’s or, Master’s degree in Computer Science, Data Engineering, Computer/Systems Engineering, Data Science, Statistics, Mathematics, or related quantitative field
Benefits
- Comprehensive benefits program including medical, dental and vision care coverage
- Flexible spending account plans
- Employee assistance program
- Life insurance and disability coverage
- 401k with Company Match
- Family Friendly Benefits including childbirth and parental leave
- Paid Time Off (PTO) and Paid Holidays
- Flexible work available
To apply for this job please visit jobs.smartrecruiters.com.
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