About this role
Technology
/ Domain:
Development and maintenance of data pipelines for Salesforce platforms in a
banking organization, including system integrations, data flows to/from Data
Lake, and ETL/ELT tools on PaaS
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
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