Data infrastructure for banking integration and financial operations
VCNET Telecom operates a data stack spanning Spark, Kafka, BigQuery, and Snowflake, with active investment in ETL pipelines connecting core banking systems to customer data platforms. The hiring mix—skewed toward finance and manufacturing roles at manager/lead level—suggests a company scaling operational rigor around statutory reporting, tax compliance, and working-capital optimization alongside data engineering maturity.
VCNET Telecom is a telecommunications and financial-services operations company based in Nova Santa Helena, Brazil, employing approximately 51 people. The organization runs data infrastructure for banking system integration, customer data management, and financial reporting. Active projects center on ETL pipeline scalability, data virtualization to reduce system coupling, and automated data quality. Pain points cluster around production targets, financial compliance, and operational efficiency—challenges typical of businesses managing both telecom service delivery and complex banking integrations.
Apache Spark, Kafka, BigQuery, Snowflake, Denodo, Python, Scala, Java, GCP, Docker, Kubernetes, Terraform, Apache Airflow, and QuickBooks.
Yes—6 active roles posted, with hiring focused on data (1 role), manufacturing (2), finance (2), and product (1), primarily at manager and lead levels.
Scalable ETL pipelines from core banking to CDP, data virtualization for decoupling sources, automated data quality checks, and process improvements for production and financial efficiency.
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