The Role
Design, develop, and maintain ETL/ELT pipelines and API-based integrations between Salesforce and banking systems. Perform data processing, cleansing, enrichment, and optimization for Data Lake/Data Warehouse environments. Troubleshoot pipelines, ensure data quality and security, produce documentation, support UAT, and provide offshore operational support.
Summary Generated by Built In
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
Skills Required
- 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)
- Strong SQL skills
- Familiarity with CI/CD processes in data engineering
- Python for data processing
- Java
- Experience with messaging and streaming tools (Kafka / Event Hub)
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The Company
What We Do
HCCM Consulting is a Lisbon-based technology consultancy that has provided software development and professional services since 1995. The company specializes in creating custom CRM software, business automation solutions, website development, and mobile applications. They serve diverse sectors including banking, insurance, energy, retail, and telecommunications, leveraging their expertise in enterprise applications, nearshoring, and the implementation of low-code technologies.
