Informatica Etl Developer Performance Goals And Objectives

Informatica Etl Developer Goals and Objectives Examples

Complete all assigned Informatica ETL development tasks on time.
Ensure that all Informatica workflows are properly documented and maintained.
Optimize Informatica ETL processes for improved performance.
Troubleshoot and resolve any issues with Informatica workflows.
Continually improve data quality in the data warehouse through Informatica ETL processes.
Implement best practices for testing and validation of Informatica ETL processes.
Identify opportunities to streamline Informatica ETL processes.
Collaborate with business analysts to understand data requirements and design appropriate Informatica workflows.
Develop and maintain a library of reusable Informatica components.
Stay up-to-date with the latest Informatica tools and technologies.
Design and implement complex data transformations in Informatica.
Balance workload across multiple projects, prioritizing when necessary.
Train new team members on Informatica ETL development best practices.
Participate in code reviews to ensure code quality and adherence to standards.
Work closely with the data architecture team to ensure alignment between the data model and the ETL processes.
Communicate progress on assigned tasks to project managers and stakeholders regularly.
Monitor and tune Informatica ETL processes for optimal performance.
Develop custom Informatica mappings and transformations as needed.
Ensure that all ETL processes comply with industry regulations and standards.
Automate manual data processing tasks using Informatica workflows.
Create and maintain technical documentation for all Informatica ETL processes.
Implement error handling and exception reporting in Informatica workflows.
Collaborate with database administrators to optimize data warehousing performance.
Build data lineage and mapping documents for Informatica ETL processes.
Participate in brainstorming sessions with team members to generate ideas for improving ETL processes.
Maintain comprehensive knowledge of the data sources being used by the ETL processes.
Provide technical guidance and support to other team members working on ETL processes.
Test and validate all Informatica workflows before they are deployed to production.
Perform root cause analysis on any failed Informatica workflows.
Work collaboratively with business users to identify and resolve data issues in the data warehouse.
Create and maintain metadata for all ETL processes.
Develop custom scripts to automate tasks in Informatica PowerCenter.
Troubleshoot and resolve any issues with the Informatica environment.
Identify and implement improvements to existing ETL processes.
Participate in design review sessions to ensure that Informatica ETL processes meet business requirements.
Ensure that all scripts and code are properly versioned and documented.
Collaborate with business users to establish data quality rules for the data warehouse.
Maintain a strong working knowledge of SQL, Unix, and other related technologies.
Create and maintain reports on ETL process performance.
Develop and maintain test plans and test cases for ETL processes.
Write efficient SQL queries to extract data from source systems for use in ETL processes.
Regularly review and optimize Informatica mappings and workflows for better performance.
Evaluate the impact of changes to source systems on ETL processes, and make necessary adjustments as needed.
Validate extracted data to ensure accuracy before loading into the data warehouse.
Develop and maintain ETL standards and best practices documents.
Optimize data storage and retrieval in the data warehouse through ETL processes.
Continuously monitor ETL processes to ensure that they are operating at peak efficiency.
Participate in data modeling sessions with the database team to ensure alignment between ETL processes and the data model.
Collaborate with data governance teams to ensure that data is properly classified and protected throughout the ETL process.
Develop and maintain a library of custom Informatica functions.
Participate in performance tuning exercises, identifying opportunities to improve ETL process performance.
Develop and maintain data transformation rules for use in ETL processes.
Collaborate with QA teams to ensure that ETL processes are properly tested before deployment.
Write and maintain user guides and training materials for ETL processes.
Continuously monitor the Informatica environment to ensure that it is performing optimally.
Identify and implement improvements to the Informatica environment, including hardware, software, and network configurations.
Ensure that ETL processes comply with all relevant security guidelines.
Work collaboratively with other IT teams to ensure smooth integration between ETL processes and other systems.
Ensure that all Informatica workflows adhere to coding standards and best practices.
Create and maintain project plans for individual ETL development tasks.
Develop custom scripts to automate data processing tasks outside of Informatica workflows.
Regularly review and optimize database schemas to improve ETL process performance.
Test ETL processes in multiple environments to ensure compatibility and scalability.
Develop and maintain data quality metrics for the data warehouse.
Work collaboratively with business users to develop custom reports based on data in the data warehouse.
Implement change management procedures for ETL processes to ensure data accuracy and compliance with regulations.
Proactively monitor data sources for changes that may impact ETL processes, and make necessary adjustments as needed.
Establish and maintain strong relationships with stakeholders across the organization.
Analyze and report on ETL process performance metrics to identify opportunities for improvement.
Stay up-to-date with the latest trends and technologies in the field of ETL development.
Develop custom monitoring tools to track the health of ETL processes in real-time.
Work collaboratively with DBAs to identify and resolve any database performance issues that may impact ETL processes.
Ensure that all ETL processes are properly documented for future reference and maintenance.
Collaborate with other IT teams to develop and implement disaster recovery plans for ETL processes.
Continuously evaluate and improve ETL development processes for better efficiency and quality.
Develop and maintain custom Informatica workflows to automate data processing tasks.
Regularly report on project status to stakeholders, providing updates on progress and any obstacles encountered.
Collaborate with business users to identify new data sources for inclusion in the data warehouse.
Work collaboratively with other developers to ensure consistency across ETL processes.
Continuously review and improve data security practices in ETL processes.