Senior Data Enginner
USD 92K-180K Senior-level Full Time
Tasks
- Build batch data pipelines
- Build real-time data pipelines
- Create data movement solutions from legacy sources
- Create stored procedures
- Create test cases and validate solutions
- Define relational tables and keys
- Deploy applications to production servers
- Design star-schema data models
- Develop data models for data warehouses and data marts
- Develop proofs of concept
- Educate others on data governance
- Establish data governance projects
- Implement CI/CD pipelines
- Implement ETL pipelines
- Implement data governance practices
- Ingest data with Kafka
- Manage releases with Jira
- Process streams with Spark streaming
- Process streams with Structured streaming
- Schedule and monitor pipelines with Airflow
- Use GIT for source control
- Write code for data pipeline solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | CI/CD | Data Governance | Data Modeling | ETL | Git | Google Cloud | Hive | Jenkins | Jira | Microsoft Azure | Microsoft Excel | Oracle Database | Python | Release Management | SAP BW | SQL Server | Scala | Snowflake | Spark SQL | Star Schema | Structured Streaming | Tableau | Teradata | Unix Shell | Web Services
Education
Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Science | Master of Computer Science | Master of Engineering | Master of Science
Roles
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