Informatica c360 Developer with Data Engineering Experience

Informatica c360 Developer with Data Engineering Experience - Full-time - 10+ Years

Remote Job |   2023-04-26 10:15:05

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Job Code : DM006

We are seeking an experienced Informatica c360 Developer with strong data engineering. The ideal candidate will be responsible for designing, developing, testing, and maintaining data pipelines and workflows in Informatica c360 (Customer 360), as well as leveraging Hive for data.

Details of the role / application, as appropriate:

•            Design, develop and maintain the MDM solution using Informatica MDM C360

•            Configure MDM entities, schema, systems and trust settings in HUB

•            Create/update match and merge rules for different business groups/organizations

•            Integrate the MDM solution with other enterprise systems

•            Develop custom scripts in Python to support data processing and analysis

•            Implement data processing workflows using Hive

•            Write complex SQL queries and optimize database performance for efficient data processing.

•            Troubleshoot and debug issues related to MDM , data pipelines, workflows, and ETL processes.

•            Perform testing and debugging of code to ensure high quality deliverables

•            Provide support for MDM Data Model and C360 Implementation to customers business and cross functional partners

Key responsibilities and expected “output”:

•            Interface with business and IT stakeholders to gather requirements, create user stories and validate the same

•            Work with data engineers to explain data engineering requirements

•            Design, Development, Testing, and rollout of Tableau Dashboards

Required” tech stack and other related details:

•            Bachelor's degree in Computer Science, Software Engineering, or related field.

•            Minimum 5 years of experience with Informatica MDM Customer C360.

•            Experience with Python or other scripting languages.

•            Minimum 2 years of experience in data warehousing and analysis using Hive.

•            Experience working with big data technologies such as Hadoop, Spark, and Kafka.

•            Strong SQL skills.

•            Excellent problem solving and debugging skills.

Good to have” tech stack and other related details:

•            Familiarity with data governance and data management best practices.

•            Experience with data visualization tools such as Tableau, Power BI, or QlikView.