Advanced Data Integrator

1 week ago


Bengaluru, Karnataka, India Domnic Lewis International Full time

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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