Key skills
SQLETLData EngineeringOracle
About this role
We are seeking an experienced Data Engineer to join our team.
The ideal candidate will have a strong background in data engineering, with a focus on data extraction, transformation, and loading (ETL)
processes. They will be responsible for understanding data structures and databases, developing SSIS packages for data extraction from
Oracle and SQL Servers and managing data pipelines.
Key Responsibilities:
1. Data Structure and Database Understanding: Gain a comprehensive understanding of data structures and databases within the organization.
2. SSIS Package Development: Develop SSIS packages to schedule and automate data extraction from Oracle and SQL Servers.
3. ETL Process Development: Create and maintain ETL processes to ensure efficient data flow and transformation.
4. SQL Proficiency: Utilize SQL for data manipulation, querying, and optimization.
5. Data Pipeline Management: Manage and maintain existing data pipelines, ensuring data integrity and reliability.
6. Error Handling: Implement robust error handling strategies within batch services to ensure data accuracy and consistency
The ideal candidate will have a strong background in data engineering, with a focus on data extraction, transformation, and loading (ETL)
processes. They will be responsible for understanding data structures and databases, developing SSIS packages for data extraction from
Oracle and SQL Servers and managing data pipelines.
Key Responsibilities:
1. Data Structure and Database Understanding: Gain a comprehensive understanding of data structures and databases within the organization.
2. SSIS Package Development: Develop SSIS packages to schedule and automate data extraction from Oracle and SQL Servers.
3. ETL Process Development: Create and maintain ETL processes to ensure efficient data flow and transformation.
4. SQL Proficiency: Utilize SQL for data manipulation, querying, and optimization.
5. Data Pipeline Management: Manage and maintain existing data pipelines, ensuring data integrity and reliability.
6. Error Handling: Implement robust error handling strategies within batch services to ensure data accuracy and consistency