Senior Data Engineer
(USA) J STREET OFFICE SPACE AR BENTONVILLE Home Office, United States
USD 92K-180K Senior-level Full Time
Tasks
- Analyze data integration challenges
- Build data pipelines and transform data
- Create code documentation and maintain playbooks
- Create logical data models and physical data models
- Create proofs of concept
- Create test cases and validate solutions
- Define and document data governance processes
- Define relational tables, keys, and stored procedures
- Deliver project tasks and activities
- Design data warehouse and data mart
- Develop business cases and recommendations
- Develop efficient data flows
- Develop training documentation and train end users
- Extract data from databases
- Identify analytics and big data solutions
- Implement data governance practices
- Oversee less experienced programmers
- Run data quality checks
- Test code and deploy to production servers
- Write code for application features
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EC2 | AWS EMR | AWS Redshift | AWS S3 | Agile | Apache Kafka | Apache Spark | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Databricks | Blob Storage | CI/CD | Cloud Dataproc | Confluent Kafka | Data Factory | Data Studio | Data pipeline | ETL | GitHub Actions | Google Cloud | Google Cloud Dataproc | Google Data Studio | Google Pub/Sub | Hadoop | JDBC | Java | Jenkins | Linux | MySQL | PostgreSQL | Power BI | Pub/Sub | Python | Scala | Shell Scripting | Tableau | Unix | Waterfall
Education
Roles
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