Design ETL workflows, mappings, and transformations using Informatica PowerCenter.
Define data mappings, data flow diagrams, and transformation logic.
Data Extraction:
Extract data from various source systems, such as databases, files, APIs, and web services.
Implement efficient and reliable data extraction processes.
Data Transformation:
Transform, clean, and enrich data as it moves through the ETL pipeline.
Apply data quality rules and data validation during transformation.
Data Loading:
Load transformed data into target systems, including data warehouses, data marts, and databases.
Ensure data loading processes are optimized for performance.
ETL Development:
Develop ETL mappings, workflows, and scripts in Informatica PowerCenter.
Write SQL queries and scripts for data manipulation and transformation.
Performance Tuning:
Optimize ETL processes for performance and scalability.
Identify and resolve performance bottlenecks.
Error Handling:
Implement error handling and logging mechanisms to track and manage data integration errors.
Develop strategies for data recovery and resubmission.
ETL Testing:
Conduct unit testing and integration testing of ETL processes.
Collaborate with quality assurance teams to ensure data accuracy and completeness.
Documentation:
Maintain comprehensive documentation of ETL processes, mappings, and workflows.
Document data lineage and data transformation rules.
Change Management:
Manage changesto ETL processes, including version control and migration between environments.
Ensure proper documentation of change requests and approvals
Monitoring And Support:
Monitor ETL jobs and workflows for errors and performance issues.
Provide support for ETL production jobs, including troubleshooting and issue resolution.
ETL Optimization:
Identify opportunities for ETL process optimization and automation.
Implement best practices to streamline data integration.
ETL Maintenance:
Perform routine maintenance tasks such as data purging, job scheduling, and system upgrades
Skills:
Informatica PowerCenter Expertise: Proficiency in Informatica PowerCenterfor ETL development, including designing, developing, and debugging mappings, sessions, and workflows. Experience in optimizing ETL processes for better performance.
Data Integration and Transformation: Ability to extract, transform, and load data from various sources such as databases, flat files, and cloud-based systems. Strong understanding of data transformation techniques like aggregation, filtering, and cleansing.
SQL and Database Management: Expertise in SQL for writing complex queries, stored procedures, and performance tuning. Knowledge of relational database systems like Oracle, SQL Server, or MySQL. Familiarity with data modeling and normalization concepts.
Data Warehousing Concepts: Deep understanding of data warehousing principles, including star and snowflake schemas, slowly changing dimensions (SCD), and fact and dimension tables.
ETL Workflow Design: Experience in designing end-to-end ETL workflows that handle data extraction, transformation, and loading with minimal latency.
Performance Optimization: Skills in optimizing ETL jobsfor better efficiency and reduced runtime, including indexing, partitioning, and parallel processing techniques.
Data Governance and Quality: Knowledge of data quality management and governance principles. Familiarity with data profiling tools and processes to ensure data accuracy and consistency.
Scripting Languages: Proficiency in scripting languages like Shell Scripting, Python, or Perl for automation and ETL integration tasks.
Cloud Integration: Experience with cloud platforms and tools for data integration, such as Informatica Cloud, AWS Glue, or Azure Data Factory, is an advantage.
Debugging and Troubleshooting: Strong ability to debug and troubleshoot issues in ETL processes, including error handling and recovery mechanisms.
Project Management and Collaboration: Experience with Agile methodologies, working with cross-functional teams, and using project management tools like JIRA or Trello.
Reporting and Visualization: Familiarity with reporting tools like Power BI, Tableau, or Cognos to ensure data accessibility for business users.
Certifications: Relevant certifications like Informatica Certified Professional (ICP) or specialized certifications for Informatica Cloud and Data Engineering add value.
Soft Skills: Strong analytical and problem- solving skills, attention to detail, excellent communication, and the ability to work effectively in a team-oriented environment.
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