Data Engineer
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Development and maintenance of data pipelines for Salesforce platforms in a banking organization, including system integrations, data flows to/from DataLake, and ETL/ELT tools on PaaS.
ProfessionalProfile / 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
TechnicalSkills:
- Experience with tools such as Talend / ADF / Informatica Cloud
- 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
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