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ETL Informatica Developer
2 months ago
At Iconic Infosys, Inc, we are seeking a highly skilled ETL Informatica Developer to join our team. As a key member of our data integration team, you will be responsible for designing, developing, and maintaining complex ETL processes using Informatica and Fivetran.
- Data Extraction and Transformation: Design and develop ETL processes to extract, transform, and load data from various sources into our data warehouse.
- Mapping and Workflow Optimization: Create and optimize complex mappings, workflows, and sessions to ensure efficient data integration and processing.
- Production Support and On-Call: Provide production support for our big data platform and participate in on-call rotations to ensure seamless data integration.
- Performance Tuning and Optimization: Expertly tune and optimize ETL processes for real-time, near-real-time, or batch data integration to ensure high-performance data processing.
- Data Lake and Master Data Management: Design and implement data lake and master data management solutions to enable complex data analytics and visualization.
- Data Extraction, Parsing, and Massaging: Implement data extraction, parsing, and massaging of large disparate data sets using multiple platforms and technologies to enable complex aggregations and data analytics.
- EL Development and Troubleshooting: Develop and troubleshoot ELs and other high-bandwidth services to help discover problems early and ensure data integrity.
- Data Quality Checks and Cleansing: Implement data quality checks and data cleansing processes to ensure accurate and reliable data.
- Collaboration and Requirements Gathering: Collaborate with data architects, business analysts, and end-users to gather requirements and translate them into technical solutions.
- Data Profiling and Analysis: Perform data profiling and analysis to ensure data integrity and quality.
- Documentation and Code Reviews: Develop and maintain documentation for ETL processes and data flows, and participate in code reviews to ensure best practices for ETL development.
- Troubleshooting and Resolution: Troubleshoot and resolve data integration issues to ensure seamless data processing.