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Design and develop data integration solutions and ETL/ELT pipelines in Informatica IDMC CDI
Build file-based ingestion frameworks for multiple file formats, including JSON, XML and flat files
Implement incremental load, CDC and data validation logic
Develop and support real-time and API integrations using CAI
Troubleshoot and resolve issues in mappings, taskflows, and production jobs
Design and develop scalable data integration solutions using Informatica IDMC (Cloud Data Integration - CDI)
Design and develop file-based ingestion frameworks handling multiple file formats and patterns
Implement incremental load strategies, CDC patterns, and data validation rules
Develop and support real-time and API integrations using CAI (Cloud Application Integration)
Troubleshoot and resolve issues in mappings, taskflows, and production jobs
Design and develop scalable data integration solutions using Informatica IDMC (Cloud Data Integration - CDI)
Work with relational databases and write optimized SQL queries for data processing
Build, enhance, and maintain mappings, mapplets, and taskflows for enterprise data pipelines
Implement and maintain B2B/EDI integrations using Informatica B2B Gateway
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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Day 1
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Job Summary Design and develop scalable data integration solutions using Informatica IDMC (Cloud Data Integration - CDI) Build, enhance, and maintain mappings, mapplets, and taskflows for enterprise data pipelines Implement end-to-end ETL/ELT processes for data ingestion, transformation, and loading Develop complex transformation logic using expression, lookup, joiner, aggregator, and router Process and transform JSON, XML, and flat file data within CDI mappings Implement parameterization and reusable frameworks to support dynamic processing Design and develop file-based ingestion frameworks handling multiple file formats and patterns Implement robust error handling, logging, and restart mechanisms in taskflows and mappings Optimize performance using pushdown optimization, partitioning, and caching techniques Work with relational databases and write optimized SQL queries for data processing Implement incremental load strategies, CDC patterns, and data validation rules Troubleshoot and resolve issues in mappings, taskflows, and production jobs Collaborate with business and technical teams to gather requirements and design solutions Develop and support real-time and API integrations using CAI (Cloud Application Integration) Implement and maintain B2B/EDI integrations using Informatica B2B Gateway Key Responsibilities
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Design and develop scalable data integration solutions using Informatica IDMC (Cloud Data Integration - CDI)
Build, enhance, and maintain mappings, mapplets, and taskflows for enterprise data pipelines
Implement end-to-end ETL/ELT processes for data ingestion, transformation, and loading
Develop complex transformation logic using expression, lookup, joiner, aggregator, and router
Process and transform JSON, XML, and flat file data within CDI mappings
Implement parameterization and reusable frameworks to support dynamic processing
Design and develop file-based ingestion frameworks handling multiple file formats and patterns
Implement robust error handling, logging, and restart mechanisms in taskflows and mappings
Optimize performance using pushdown optimization, partitioning, and caching techniques
Work with relational databases and write optimized SQL queries for data processing
Implement incremental load strategies, CDC patterns, and data validation rules
Troubleshoot and resolve issues in mappings, taskflows, and production jobs
Collaborate with business and technical teams to gather requirements and design solutions
Develop and support real-time and API integrations using CAI (Cloud Application Integration)
Implement and maintain B2B/EDI integrations using Informatica B2B Gateway
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India
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