Data Engineer

Job Description

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The Sr Data Engineer will report to Sr Manager responsible for Data & Insights Engineering.

Key Responsibilities

• Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the business.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
• Optimize data integration platform to provide optimal performance under increasing data volumes.
• Upload data into appropriate databases in accurate and timely manner.
• Implement database solutions and models to store and retrieve company data.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models..
• Develop and document the data audit, archiving, and restoration processes.
• Develop quality standards to ensure data quality and integrity across various database systems.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
• Develop data integration standards according to the organization’s information services policies as well as best practices.
• Conduct review of other integration developers development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
• Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment.
• Convert physical data integration models and other design specifications to source codes.
• Ensure high quality and optimum performance of data integration systems in order to meet business solutions.
• Follow company guidelines for programming and documentation.
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
• Offer support by responding to system problems.

Minimum Qualifications

• 4Year IT College Degree/Masters preferred or equivalent work experience.
• 7years experience in a similar role.
• 5years of hands-on experience with Data Integration, ETL.
• 2years of hands-on experience with physical and relational data modelling.
• Expert knowledge of metadata management and related tools.
• Expertise in Snowflake including advanced features and utilities.
• Knowledge of mathematical foundations and statistical analysis.
• Knowledge of database structure systems and data mining.

Tagged as: Application Development, Business Intelligence, Data Integration, Data Mining, Data Quality, Data Strategies, Database, Database Systems, Information Services, Integration, Metadata Management, Physical, Problem, Relational Data, Restoration, statistical analysis