
Job Overview
Location
ESP Work-at-Home
Job Type
Full-time
Category
Data Engineer
Date Posted
April 24, 2026
Full Job Description
đź“‹ Description
- • Senior Data Engineer role focused on implementing cutting-edge Azure Databricks solutions to automate tax reporting processes, managing ingestion of daily data feeds and producing outputs at the scale of billions of forms per client.
- • Day-to-day responsibilities include executing data engineering projects, designing and implementing advanced data solutions using Azure Databricks, managing and optimizing data ingestion and transformation, developing scalable data pipelines, collaborating with cross-functional teams, and driving best practices in data engineering.
- • Part of the Concentrix Catalyst team, which drives Concentrix’s transformation, data, and technology services by integrating digital engineering, creativity, and human behavior insights to deliver tech-powered, intelligence-fueled experiences that modernize customer experiences.
- • Opportunity to work with advanced technologies including Azure, Databricks, Spark, SQL, Python, Data Factory, Cosmos DB, Functions, Event Store, ADLS, Key Vault, OpenAI, Fabric, Docker, and Kubernetes while contributing to high-impact tax reporting automation for global clients.
Skills & Technologies
About Concentrix
Concentrix is a global technology and services leader that partners with over 2,000 of the world's leading organizations to drive intelligent transformation. They specialize in modernizing technology, enhancing customer experiences, and solving complex business challenges through a blend of deep human insights and advanced AI-powered solutions. Their offerings span strategy, data analytics, enterprise technology, and digital operations, with a particular focus on innovative AI products like iX Hero for contact centers. Serving a diverse array of industries from automotive to healthcare, Concentrix leverages its extensive global reach to help businesses grow and simplify interactions, ensuring they remain competitive in a rapidly evolving digital landscape.
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