Analyst – Data Engineer
Tasks
- Acquire data from primary and secondary sources
- Build and deploy data science solutions
- Collaborate with business and data science teams on projects
- Create business alerts for data fields
- Create queries stored procedures and scripts
- Design data flow and build data pipelines
- Develop databases and data collection systems
- Handle support tickets and process improvements
- Implement data profiling and data quality processes
- Interpret and analyze data and provide reports
- Maintain databases and data systems
- Manage and support data solutions in BAU scenarios
- Optimize queries for machine learning models
- Orchestrate workflow and schedule data pipelines
- Translate business logic into technical requirements
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Spark | Data Flow | Data Management | Data Quality | Data Transformation | Data integration | Data profiling | ETL | Git | HTTP | Informatica | Informatica PowerCenter | Integration Services | Machine Learning | MongoDB | Oracle | Python | Query Optimization | REST APIs | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Snowflake | Talend | Teradata | Workflow Orchestration
Education
Roles
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