Summary: Concentrix is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based solutions within Azure and Databricks environments. Highlights: 1. Support design, development, and maintenance of scalable data pipelines 2. Build and optimize data workflows within Azure and Databricks environment 3. Opportunity to shape a game-changing career in a global tech leader **Data Engineer – Remote in Mexico** ==================================== We're **Concentrix**, 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.** We embrace our **game\-changers** with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond **WOW** for our customers will fit right in with what we do and who we are. As part of the Core Engineering Services team, we are seeking a **Data Engineer** to support the design, development, and maintenance of scalable data pipelines and cloud\-based data solutions. We are looking for a hands\-on specialist focused on building, optimizing, and supporting data workflows within our **Azure and Databricks** environment. **Essential Functions/Core Responsibilities** **1\. Data Pipeline Engineering \& Orchestration** * **Pipeline Development:** Build and maintain robust data pipelines for ingesting, transforming, and loading data into the Azure data lake. * **Workflow Management:** Develop and support orchestration and workflow monitoring solutions to ensure reliable data delivery. * **Performance Tuning:** Write and optimize complex SQL queries; improve data performance via advanced query tuning and indexing. **2\. Backend \& API Integration** * **API Development:** Develop backend data APIs and support API management configurations for seamless data exchange. * **External Integration:** Integrate with external systems and REST APIs to facilitate diverse data flows. * **Streaming \& Events:** Manage the ingestion of streaming or event\-based data (e.g., Event Hubs) into the ecosystem. **3\. Infrastructure, DevOps \& Quality** * **Infrastructure as Code:** Implement and maintain Azure resources using Terraform and YAML\-based configurations. * **CI/CD \& Versioning:** Contribute to CI/CD pipelines using Azure DevOps and maintain strict version control, logging, and monitoring. * **Data Governance:** Support rigorous data quality checks, validation processes, and adhere to engineering best practices through code reviews. **Candidate Profile** * **Education:** Bachelor’s degree in Computer Science, Information Systems, or a related field. * **Experience: 3**\+ years of hands\-on experience in data engineering roles. * **Language:** Fluent in English. **Technical Core** * **Language Mastery:** Proficiency in Python (processing scripts/utilities) and SQL (transformation/analysis). * **Cloud Ecosystem:** Practical experience with Azure and Databricks; familiarity with Lakehouse architectures. * **Data Modeling:** Strong understanding of relational data models (Star/Snowflake, Kimball) and ETL/ELT concepts. * **Big Data Tools:** Experience working with Spark or similar big data technologies. **Professional Experience** * **Technical Problem\-Solver:** Strong troubleshooting skills related to pipelines, jobs, and cloud components. * **Collaborative Engineer:** Experience working in Agile environments (Jira/GitHub), partnering with technical teams to translate requirements into solutions. * **Self\-Directed:** Ability to work independently with minimal oversight, meeting deadlines across multiple simultaneous projects. **Technical Stack Summary** * **Languages:** Python, SQL * **Platforms:** Azure, Databricks, Azure Data Lake * **Orchestration/DevOps:** Azure DevOps, Terraform, GitHub, YAML * **Data/Messaging:** Spark, Event Hubs, RESTful APIs * **Architecture:** Lakehouse, Star/Snowflake Schema **Join us and be part of this journey towards greater opportunities and brighter futures.**