Senior Data Engineer
Tasks
- Analyze data flows and gaps
- Automate ETL ETL ELT workflows
- Collaborate with architecture and data teams
- Create technical specifications and design documents
- Define data retention policies
- Design data ingestion solutions
- Develop user stories for analytics delivery
- Ensure data performance and resilience
- Generate reports and support ad hoc analysis
- Guide agile development execution
- Implement data integration pipelines
- Maintain enterprise data policies and standards
- Mentor data engineering resources
- Monitor data pipeline performance
- Respond to data-related inquiries
- Support data architecture design and tool selection
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Cloud technologies | Cosmos DB | Data Factory | Data Lakes | Data Marts | Data Migration | Data Modeling | Data Warehouses | Data integration | Database Design | Databricks | DynamoDB | ELT | ETL | Excel | Git | IICS | Informatica | Java | Jira | Microsoft SQL | Microsoft SQL Server | MongoDB | NoSQL | Oracle | Python | Real Time | Real-time integration | Reporting | SQL | SQL Server | Snowflake | Synapse Analytics | Time integration | XML
Education
N/A
Roles
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