Informatica IICS Developer (Azure Data Factory)

4 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Role : Informatica, IICS, ADF, Databricks Skill : Informatica, IICS, ADF, Databricks Level : SSE (Sr. Software Engg) Location : Pune Type of Demand : Full Time Employee Work Details : Office Minimum Experience : 4+ Yrs Company Name : PibyThree Consulting Pvt Ltd. Website : http://pibythree.com About Us Πby3 is A Cloud Transformation company enabling Enterprises for Future. We are nimble, and Highly dynamic focused team with a passion to serve our clients with utmost trust and ownership. Our expertise in Technology with vast experience over the years helps client get Solutions with optimized cost and reduced risks. We are seeking a skilled Data Engineer with hands-on experience in Informatica PowerCenter, Informatica Intelligent Cloud Services (IICS), Azure Data Factory (ADF), and Databricks. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and integration workflows across cloud and on-premise environments. Experience with cloud platforms (preferably Azure), data lakes, and ETL/ELT best practices is essential. Key Responsibilities Develop and maintain data integration workflows using Informatica (PowerCenter and IICS). Design and implement scalable data pipelines in Azure using ADF and Databricks. Collaborate with data architects, analysts, and stakeholders to understand data requirements. Ensure data quality, performance tuning, and error handling across ETL processes. Monitor, troubleshoot, and optimize existing data pipelines and jobs. Required Skills 4+ years of experience in ETL development using Informatica (PowerCenter/IICS). Strong experience with Azure Data Factory and Databricks (SQL and/or PySpark). Good understanding of data warehousing, data lakes, and cloud data architecture. Proficiency in SQL and data modeling. Skills: snowflake,sql,informatica,data lakes,data bricks,pyspark,iics,data warehousing,azure data factory,databricks,data modeling Show more Show less

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