IN_Senior Associate_IICS, Snowflake Developer_Data & Analytics

4 - 8 years

8 - 12 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Extensive experience in developing solutions with Informatica Intelligent Cloud Services (IICS)
  • Experience in Snowflake Design data mapping strategies between source systems, Salesforce Service Cloud Assist in mapping source data to target fields within Salesforce
  • Validate data before and after migration to ensure its accuracy
  • Generate reconciliation files and document any discrepancies identified
  • Design and develop ETL workflows using IICS to extract, transform, and load data into Salesforce Service Cloud
  • Implement data transformation rules according to mapping specifications
  • Assist with data loading into Salesforce using tools like Data Loader, when necessary
  • Conduct various types of testing, including unit testing, system testing, and user acceptance testing (UAT), to ensure data accuracy and integrity
  • Log and track defects until they are resolved
  • Maintain comprehensive documentation of data migration processes, mappings, and validation rules
  • Exhibit strong communication skills (both verbal and written), with the ability to effectively document development workflows, pipelines, and reporting functionalities
Experience in Data Migration Experience in SQL
Mandatory skill sets
IICS, Informatics, Salesforce, ETL, Snowflake
Preferred skill sets
IICS, Informatics, Salesforce, ETL, Snowflake
Years of experience required
48 Years
Education qualification
BE, B.Tech, MCA, M.Tech
Education
Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering
Degrees/Field of Study preferred
Required Skills
Snowflake (Platform)
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

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