Data Engineer
United States - California : Remote, United States
R
USD 61K-122K Entry-level Full Time Found 9d ago
Tasks
- Collaborate with engineering teams
- Create software architecture documentation
- Design and implement data pipelines
- Design optimize data models on AWS
- Develop data pipeline architecture on AWS
- Extract transform load data
- Integrate large data sets
- Maintain good inter-team relations
- Manage integration tools and databases
- Monitor and optimize data performance
- Process unstructured data
- Provide technical training and support
- Stay updated with industry trends
- Support technical planning and code reviews
Perks/Benefits
- Career development
- Diversity initiatives
- Educational benefits
- Health coverage
- Recognition as good place to work
- Retirement plan
- Tuition reimbursement
Skills/Tech-stack
AWS | Agile methodologies | Big Data | Code review | Data Analysis | Data Modeling | Data Pipelines | Data Visualization | Data Wrangling | Data cleaning | Data integration | Data performance | Data performance tuning | Databricks | DynamoDB | Go | Kafka | Lambda | Linux | Performance Tuning | Performance optimization | PySpark | Python | Redshift | S3 | Software Engineering | Spark | Technical documentation
Roles
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