Data Engineering Intern
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Job Description
Data Engineering Intern at First American supporting cloud modernization initiatives and ETL development of data pipelines.
Responsibilities:
- Assisting in the migration of data pipelines from Azure-based infrastructure to GCP
- Designing, building, and testing ETL workflows in cloud-native environments
- Refactoring and optimizing existing data transformation processes for scalability and performance
- Supporting data validation, reconciliation, and quality assurance efforts
- Contributing to technical documentation and architectural diagrams
- Collaborating with product engineering teams to ensure seamless integration of data services
- Participating in code reviews and version control workflows
Requirements:
- Strong SQL skills
- Python for data engineering and transformation
- Experience with data manipulation using Pandas and NumPy
- Understanding basic machine learning concepts, including regression, classification, clustering, model evaluation, and overfitting
- Ability to build, train, and evaluate ML models using tools like Scikit-learn
- Familiarity with data visualization tools such as Matplotlib or Seaborn
- Understanding of basic statistics, probability, and machine learning concepts (regression and classification)
- Experience with data cleaning, preprocessing, and exploratory data analysis (EDA)
- Knowledge of ETL processes and experience with ETL tools such as Informatica; familiarity with GCP tools (e.g., Big Query, Dataflow, Cloud Composer, Cloud Storage) is an added advantage
- Familiarity with cloud platforms (Azure and/or GCP preferred)
- Understanding of distributed data processing concepts
- Experience with version control (e.g., GitHub)
- Knowledge of data warehousing concepts and data modeling
- Strong problem-solving and analytical skills
Benefits:
- medical
- dental
- vision
- 401k
- PTO/paid sick leave
- employee stock purchase plan
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