We are looking for a skilled Deployment Engineer to join our team in Stamford, Connecticut. In this long-term contract position, you will play a pivotal role in ensuring the seamless deployment of devices and tools within a dynamic manufacturing environment. This opportunity is ideal for professionals who thrive in fast-paced settings and are passionate about delivering exceptional technical solutions.<br><br>Responsibilities:<br>• Oversee the deployment and configuration of Android devices and Chromebooks across the organization.<br>• Utilize specialized deployment tools to ensure accurate and efficient implementation of hardware and software.<br>• Manage Active Directory to organize and maintain user accounts and permissions.<br>• Provide regular status updates to stakeholders and teams, ensuring clear communication on project progress.<br>• Troubleshoot technical issues during deployment processes, minimizing disruptions and optimizing solutions.<br>• Collaborate with cross-functional teams to align deployment strategies with organizational goals.<br>• Conduct post-deployment evaluations to ensure all systems are functioning as intended.<br>• Maintain detailed documentation of deployment procedures and resolutions for future reference.<br>• Identify opportunities for improvement in deployment processes and implement innovative solutions.
We are looking for a Senior Data Engineer to join our team in New York, New York. In this role, you will be instrumental in designing, developing, and optimizing data pipelines and systems to support business needs. This position requires a strong technical background, a passion for clean coding practices, and expertise in data governance and orchestration.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using Python and Apache Spark, ensuring adherence to clean coding principles.<br>• Implement data governance practices, including data quality management and lineage tracking.<br>• Manage diverse data ingestion patterns to facilitate seamless integration of data sources.<br>• Utilize tools such as Apache Airflow for data orchestration and Docker or Kubernetes for containerization.<br>• Build and maintain CI/CD pipelines to streamline deployment processes.<br>• Collaborate with stakeholders to ensure accountability and entrepreneurialism in daily tasks.<br>• Apply knowledge of cloud platforms like Microsoft Azure and Databricks for advanced data solutions.<br>• Leverage experience with commodity and energy trading data to deliver business-focused insights.
