<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
<p>We are seeking a highly skilled Full Stack Data Engineer who thrives in building modern, scalable data platforms from the ground up. This is an opportunity to work on a cloud-native data stack, influence architecture decisions, and deliver solutions that directly power business insights and operations.</p><p>If you enjoy owning the full lifecycle—from data ingestion to application layer—this role will be a strong fit.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>You will operate as a hands-on engineer across the full data stack:</p><ul><li>Design, build, and maintain scalable ELT pipelines and workflows</li><li>Develop and optimize data models and warehouse structures in Snowflake</li><li>Build full stack data applications and backend services</li><li>Write clean, efficient Python and SQL code</li><li>Develop reusable data frameworks and components</li><li>Implement automated testing for data quality and reliability</li><li>Build and maintain CI/CD pipelines (GitHub-based)</li><li>Create reporting and visualization solutions (Power BI or similar)</li><li>Monitor production systems and troubleshoot data issues proactively</li></ul><p><strong>Tech Stack</strong></p><ul><li>Data Platform: Snowflake</li><li>Languages: Python, SQL</li><li>Cloud: AWS / Azure / GCP (environment dependent)</li><li>DevOps: GitHub, CI/CD pipelines</li><li>Visualization: Power BI (or similar BI tools)</li></ul>
<p>We are proactively building a pipeline of Security & Identity Engineers for upcoming enterprise opportunities. This role focuses on enhancing security across identity, endpoint protection, email security, and network access.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement identity and access controls, including Conditional Access</li><li>Administer Microsoft security tools, including Defender and Purview</li><li>Support data governance and compliance initiatives</li><li>Manage email security platforms such as Proofpoint</li><li>Monitor risks related to Shadow IT/AI usage</li><li>Support network security modernization efforts, including Zscaler</li><li>Manage PKI and certificate lifecycle processes</li><li>Collaborate on security improvements, audits, and incident response</li></ul>