Data Engineer (Hybrid)
Tasks
- Build and maintain scalable data solutions on AWS
- Conduct exploratory data analysis
- Define data requirements and ensure data quality
- Design data pipelines using Apache Airflow
- Develop and maintain ETL processes
- Develop data transformations and data modeling
- Monitor data pipelines performance and reliability
- Support data governance and data management
- Troubleshoot data pipeline issues
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon Web Services | Apache Airflow | Data Analysis | Data Governance | Data Modeling | Data Quality | ETL | Exploratory Data Analysis | Machine Learning | NumPy | Pandas | Power BI | Python | SQL | Scikit-learn | Tableau | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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