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    Advanced Data Integrator - Bengaluru, India - Domnic Lewis International

    Domnic Lewis International
    Domnic Lewis International Bengaluru, India

    Found in: Talent IN 2A C2 - 7 hours ago

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    Description

    Job Responsibilities:


    • Prepare designs for all metadata in accordance with various Data Integration processes.
    • Develop and test data integration (ETL) processes, including design, development, and testing.
    • Analyze source systems to transition and acquire data into the enterprise data warehouse.
    • Define and implement business transformation rules and logic for ETL scripts.
    • Design and develop exception handling and data cleansing procedures.
    • Troubleshoot ETL processes and resolve issues effectively.
    • Provide lifecycle support for Data Integration solutions.
    • Support data warehouse initiatives, monitor processes, and capture metadata.
    • Design database systems, develop physical and logical data models, and recommend improvements.
    • Maintain and develop database scripts and tools for automation.
    • Define metadata standards for the data warehouse.
    • Define suitable architectures for data integration from multiple data sources.
    • Collaborate with users and support personnel to ensure optimal ETL performance and data quality.
    • Prepare status reports and submit them to management.
    • Initiate and manage crossdepartmental communication to resolve integrationrelated questions and issues.
    • Manage issues and escalate as needed to the Solutions Manager and other relevant Minimum 67 years of experience in data warehousing, data modeling, and data integration.
    • Experience designing largescale ETL solutions for multiple systems.
    • Proficiency in data analysis, modeling, and design specific to data warehouse environments.
    • Strong experience with Data Integration/ETL tools like Talend and/or other tools.
    • Proficiency in SQL and SQL scripting for relational and NoSQL databases.
    • Experience with AWS Cloud environment and CI/CD Automation processes/tools.
    • Proficiency in scripting languages like Python, Perl, JavaScript, and shell scripting.
    • Familiarity with Linux/Unix/Windows platforms.
    • Strong understanding of data warehouse design principles and best practices.
    • Bachelor's degree in computer science/engineering, management information systems, or equivalent.
    )
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