Note: The job is a remote job and is open to candidates in USA. The Clorox Company is committed to growth for their people and brands. As a Data Engineer Co-Op, you will work with cutting-edge technologies within the Azure stack, collaborating with the Finance Transformation Team on impactful data engineering and machine learning projects.
Responsibilities
- Assist in identifying and resolving QA bugs related to data pipelines and processes
- Validate data accuracy, completeness, and consistency
- Participate in designing, building, and maintaining data pipelines
- Implement data transformations, data cleansing, and ETL processes
- Collaborate with senior engineers to enhance pipeline efficiency
- Take ownership of small features within the data pipeline
- Write code to handle data ingestion, processing, and storage
- Lead a small independent project related to data engineering
- Choose a topic of interest (e.g., optimizing pipeline performance, automating data validation)
- Present your findings and recommendations to the team
Skills
- Current student pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Business Analytics, Business Intelligence, or a related field
- Proficiency in SQL, Python, and PySpark
- Familiarity with Azure services such as Data Factory, Synapse, Databricks, and Azure Functions
- Experience with data integration using APIs
- Knowledge of data visualization tools (Power BI, Tableau)
- Knowledge/Prior experience of Gen AI, ML concepts
- Ability to develop ML models independently
- Strong problem-solving abilities
- Ability to document business requirements effectively
- Excellent teamwork and communication skills
- Visual design skills are a plus
Benefits
- Competitive compensation
- Generous 401(k) program in the US and similar programs in international
- Health benefits and programs that support both your physical and mental well-being
- Flexible work environment, depending on your role
- Meaningful opportunities to keep learning and growing
- Half-day Fridays, depending on your location
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