Data Engineer II
Tasks
- Apply data quality best practices
- Build Data Integration solutions
- Collaborate with BI and data science teams
- Design data models and schemas
- Design data pipelines
- Develop data warehouses and data lakes
- Implement ETL and ELT mappings
- Maintain data governance requirements
- Optimize pipeline performance
- Perform unit, integration, and system testing
- Transform and validate data
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS Glue | AWS Lambda | AWS Redshift | Alteryx | Amazon DynamoDB | Amazon EC2 | Amazon EMR | Amazon Kinesis | Amazon S3 | Apache Kafka | Apache Spark | Apache Spark Streaming | Cause analysis | Continuous Integration and Deployment | Continuous integration | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Warehousing | Data integration | Database Design | Databricks | ELT | ETL | Hadoop | Informatica | Integration and deployment | Kafka Streaming | MS SQL | Non-relational | Non-relational Databases | PostgreSQL | Python | Relational databases | Root Cause Analysis | Root cause | SSIS | Scala | Schema Design | Snowflake | Spark Streaming | Streaming Data | Streaming data processing | System Testing | Talend | Testable Code | Unit Testing
Education
Roles
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