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описание
VallettaSoftware is a custom mobile and web software developer serving clients in the US and Europe. The company delivers website and mobile app development, enterprise systems, and artificial intelligence and machine learning solutions.
задачи
Build robust ingestion pipelines from Sapiens, IRIS, and other enterprise sources;
Develop scalable ETL/ELT with Azure Data Factory, Azure Databricks, and Microsoft Fabric;
Implement medallion architecture with reusable patterns, curated datasets, and trusted business views;
Own transformation, cleansing, validation, reconciliation, monitoring, logging, and operational controls;
Support source-to-target migration, regulatory and operational reporting, governance, lineage, metadata, security, and access control;
Contribute to CI/CD and DevOps with Azure DevOps, reusable frameworks, and engineering standards;
Use AI-assisted and agentic AI tooling to improve development, testing, documentation, and delivery;
Participate in design, code reviews, troubleshooting, production support, and mentoring.
требования
6+ Years of commercial Data Engineering experience;
Experience with enterprise-scale data pipelines and platforms;
Strong knowledge of Microsoft Azure data services;
Experience with Azure Databricks and Apache Spark;
Experience with Azure Data Factory;
Experience with Microsoft Fabric and modern cloud analytics;
Experience with Azure Data Lake Storage or equivalent;
Strong SQL and ETL/ELT skills;
Experience with medallion architecture and reusable production-ready frameworks;
Experience with data quality, validation, reconciliation, and monitoring;
Experience with CI/CD and DevOps; Azure DevOps is preferred;
Knowledge of data governance, metadata, lineage, security, and access control;
Agile delivery experience and strong stakeholder communication;
English at B1+ level;
Nice to have: Fabric Data Factory, Lakehouse and Fabric Data Engineering; Sapiens or similar core enterprise systems; legacy reporting migration to cloud; retail, financial services, insurance or regulated industries; regulatory reporting and audit; Data Mesh or enterprise data platform implementations; event-driven or real-time integration; AI-assisted engineering or agentic AI; IaC and cloud automation; Power BI or semantic modelling.
условия
B2B employment;
Flexible working conditions;
Long-term product with real business impact;
International distributed team with a collaborative culture;
Opportunity to take ownership of a mature application.
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