Data Engineer (Salesforce Platform)

Professional Profile/ Required Experience:

• 3–5 years of experience as a Data Engineer in Enterprise organizations
  


• Strong experience building ETL/ELT processes using PaaS tools such as Talend, Informatica Cloud, Azure Data Factory, or similar
  


• Familiarity with Salesforce data model and CRM data structures
  


• Experience working with cloud systems and APIs (REST/SOAP)
  


• Experience with Data Lake / Data Warehouse environments
  


• Experience with high-volume data processing and regulated environments (banking – advantage) .
  

Responsibilities:

• Design, develop, and maintain ETL/ELT processes to transfer data to/from Salesforce and Data Lake
  


• Build API-based integrations between Salesforce and internal banking systems
  


• Perform data processing, cleansing, enrichment, and integration from multiple sources
  


• Troubleshoot data pipelines and optimize existing processes
  


• Work closely with Salesforce developers, implementers, and data architects
  


• Produce technical documentation and apply best practices for data quality and security
  


• Support UAT and provide operational support in an offshore model .
  

Technical Skills:

• Strong SQL skills
  


• Experience with tools such as Talend / ADF / Informatica Cloud
  


• Python for data processing – advantage
  


• Java – advantage
  


• Experience with messaging and streaming tools (Kafka / Event Hub) – advantage
  


• Familiarity with CI/CD processes in data engineering
  


• Strong understanding of data modeling and data governance