Jobs at everis

• Design, develop, and maintain backend services and RESTful APIs using C#, .NET, and ASP.NET Core.
• Build and support applications hosted within a Microsoft Azure cloud environment.

• Business Analysis

Analyze and document business processes, workflows, and operational use cases.
Gather, evaluate, and translate business requirements into clear functional recommendations.
Identify process improvement opportunities, system enhancements, and integration possibilities across business applications.
Develop business analysis artifacts including process maps, gap analyses, requirements documentation, and recommendations.
Support decision-making related to system enhancements, change requests, and operational improvements.

• Implement and maintain the governance platform on CDGC and AXON.
• Data governance support, data standards, quality frameworks, data quality rules creation

• Monitor daily Informatica IDMC operations, including scheduled taskflows, ingestion jobs, and data integration workflows using Operational Insights and job monitoring tools.
• Ensure compliance with SLA commitments by validating job completion windows, data freshness, processing volumes, and operational performance.

• Design, build and maintain ingestion pipelines that move data from relational, file, API and streaming sources into Amazon S3, with full, incremental and CDC based loads.
• Define and maintain the landing and raw zone layout: partitioning, file formats, naming conventions, compression, retention and immutability of source data.

• Cloud Data Governance and Catalog (CDGC) + Metadata Command Center: enterprise catalog, catalog sources and scanners, end-to-end lineage, technical and business metadata, data classification, curation, dashboards, and Data Marketplace.
• Cloud Data Quality (CDQ) / Informatica Data Quality (IDQ): data profiling, rule specifications...

• Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
• Build and optimize ingestion and ELT into the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns.

• Define and communicate the product vision, roadmap, and priorities.
• Own and manage the product backlog:

• Design, build, and deliver end-to-end AI/ML solutions—from experimentation and prototyping to production deployment.
• Develop AI solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and related Azure AI services.