Job Description Nextlink Solutions is seeking a highly skilled Cloud Data Engineer with hands-on expertise in designing, developing, and deploying scalable data pipelines and ETL/ELT processes using Azure Databricks and other Azure data services. The successful candidate will collaborate with data scientists, analysts, and stakeholders to translate business requirements into robust technical solutions, ensuring data integrity, quality, and security across platforms. The role requires proficiency in PySpark, SQL, and Azure cloud tools, as well as experience implementing CI/CD best practices and supporting performance optimization for data workflows. The position offers the opportunity to work with advanced Azure technologies, contribute to innovative data products, and support strategic data-driven decision-making. Benefits include exposure to cutting-edge Azure data projects, collaboration with international teams, and opportunities for continuous professional development. Responsibilities Support delivery of cloud-based data products in Azure Design, develop, and implement data pipelines and ETL/ELT processes using Azure Databricks and related services Develop and optimize PySpark and SQL-based jobs ensuring performance and efficiency Collaborate with analysts, scientists, and stakeholders to align business and technical data requirements Ensure data quality, integrity, governance, and security across all solutions Monitor, troubleshoot, and optimize workflows in the Azure environment Apply CI/CD practices, version control, and maintain technical documentation Participate in data analysis to deliver insights and support business decision-making Stay current with Azure, Databricks, and evolving big data ecosystems Requirements 8+ years of professional experience in Data Engineering with Azure technologies Microsoft Certified: Azure Data Engineer Associate certification required (or equivalent) Proven expertise in Azure Databricks for data pipeline development and optimization Strong experience with PySpark and SQL for large-scale data processing Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage Knowledge of data governance principles and data management best practices Proficiency in CI/CD and version control within cloud data engineering projects Demonstrated ability to ensure data quality, security, and compliance in cloud environments Strong Stakeholder Management. Excellent communication, presentation and collaboration skills with cross-functional teams