Azure Data Engineer

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We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as \"World's Best Workplaces,\" “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

We are seeking a highly skilled Data Engineer with strong Azure experience to design and maintain scalable data pipelines, support AI/ML workflows, and ensure secure and compliant data operations across cloud environments. This role focuses on building robust batch and streaming pipelines, preparing datasets for annotation and modeling, and implementing high standards of data quality, observability, and governance.

• Design and implement scalable ETL pipelines from diverse sources (Kafka, Azure Blob, Snowflake) into the enterprise data ecosystem.
• Build and maintain secure, cross-cloud data workflows following strict standards for sensitive data (PII/CPNI).
• Develop and optimize Spark workflows (PySpark/SparkSQL) on Azure Databricks for batch and real-time processing.
• Prepare, validate, and automate datasets and workflows for AI/ML annotation environments (Azure or SageMaker).
• Implement data quality checks, lineage tracking, and observability practices to ensure reliability and compliance.

• 5+ years of experience in data engineering with cloud-based data platforms (Azure preferred).
• Strong programming experience in Python and SQL, including PySpark or SparkSQL.
• Hands‑on experience building batch and streaming pipelines at scale using Azure Databricks and related services.
• Knowledge of secure data handling practices (encryption, IAM, network isolation) and experience working with regulated data.
• Familiarity with multi‑cloud environments (AWS or GCP) and cross‑cloud data integrations.

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting

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