Senior Data Engineer: ETL Mastery & Data Pipelines (Remote)
The Scotts Miracle-Gro Company
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Benefits offered by this job
Job summary
The Senior Analyst in Data Engineering at ScottsMiracle-Gro is a technical role that supports data processing and integration efforts. You will design and optimize data pipelines, ensure data delivery across projects, and collaborate with data scientists to enable machine learning initiatives.
You will work with ETL, data quality, and database management, provide reporting support, automate processes, and document best practices.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field.
- Required: Databricks, Python, Spark SQL, Airflow.
- 6+ years of Data Engineering experience; 4-7 years preferred in this role.
- Strong communication skills to collaborate with stakeholders.
Responsibilities
- Perform data extraction, transformation, and loading (ETL) processes.
- Design and implement complex data transformation logic to meet business requirements.
- Ensure the accuracy and reliability of data processing tasks.
- Support data analysts and data scientists with reporting and analytics needs.
- Collaborate with data scientists to integrate ML models into pipelines.
- Identify opportunities for process automation and document best practices.
Skills
Education
Tools
Job description
The Senior Analyst in Data Engineering at ScottsMiracle-Gro is a technical role that supports data processing and integration efforts. You will design and optimize data pipelines, ensure data delivery across projects, and collaborate with data scientists to enable machine learning initiatives.
You will work with ETL, data quality, and database management, provide reporting support, automate processes, and document best practices.
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