Senior Data Engineer
Wash, 213 Washington St., Newark, NJ, United States
USD 104K-171K Senior-level Full Time
Tasks
- Build data pipelines
- Collaborate on data acquisition and transformation
- Develop and maintain data lake solutions
- Maintain automated testing workflows
- Optimize pipeline logic and storage
- Perform data analysis and data preparation
- Prepare data for predictive and prescriptive modeling
- Transform and map raw data for insights
- Troubleshoot data quality issues
- Write unit tests and integration tests
Perks/Benefits
- 401k match
- Company pension plan
- Dental insurance
- Disability insurance
- Education benefit
- Employee stock purchase plan
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
- Wellness reimbursement
- Work-life resources
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Redshift | AWS Step Functions | Access Control | Access Logging | Accessibility | Amazon Kinesis | Ansible | Apache Airflow | Apache Spark | CloudFormation | CloudWatch | Data Ingestion | Data Lakes | Data Loss Prevention | Data Modeling | Data Pipelines | Data Streams | Data Transformation | Data Warehousing | Data access | Data access logging | Data encryption | Data integration | Data loss | Data orchestration | Database Design | Integration Testing | Java | Kafka | Kinesis Data Streams | Loss prevention | Microsoft Excel | NoSQL | Power BI | PySpark | Python | R | Role-Based Access | Role-Based Access Control | SQL | Scala | Serverless computing | Shell Scripting | Snowflake | Splunk | Step Functions | Tableau | Unit Testing | Vulnerability scanning
Roles
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