Remote IT Engineer

Posit Support Engineer - HIRING IMMEDIATELY, apply today ASTELLAS PHARMA - ONTARIO CANADA, Remote opportunity Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at . As part of the Astellas commitment to delivering value for our patients, our organization is currently undergoing transformation to achieve this critical goal. This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives. DigitalX our new information technology function is spearheading this value-driven transformation across Astellas. We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills. Posit Support Engineer As an Information X Data Engineer, you will play a crucial role in leading, designing, building, and maintaining our data infrastructure. Your expertise in Data engineering across multiple platforms including Posit, Azure/ AWS Cloud Data Warehousing, Databricks, PySpark, SQL, Business Intelligence (Qlik), Application management and other related technologies, will be instrumental in enabling data-driven decision-making and outcomes. Working within small agile teams that are focused on delivering value, you will play a pivotal role in building, maintaining and enhancing our strategic systems across the organization. This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilize your development skills, and contribute to the continuous improvement/delivery of critical IT solutions. Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/data model (e.g. data vault, dimensional data model). Proven experience in building robust data pipeline; Technical Proficiency: Strong coding skills for example, Python, PySpark, SQL, or R. Engineering experience across multiple platforms for example AWS, Azure, Databricks, Docker, Kubernetes or Change Data Capture (eg. Expertise in building data pipelines, strong understanding of data management best practices Proficiency in network architecture and security concepts Proven experience with data analytics practices and techniques and organizations Agile Practices: Experience working in Agile development environments, participating in sprint planning, stand-ups, and retrospectives. Cloud Data Solutions: Familiarity with other cloud platforms (AWS, Azure, Google Cloud) and their data services Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement Agile Champion: Adherence to DevOps principles, automation, and a proven track record with CI/CD pipelines for continuous delivery Understand, Interpret business requirements and can term them into technical requirements. Manage the installation, upgrades, and product upgrades for Posit packages, Workbench, Connect, and PostgreSQL. ~ Deployment and Access: -Configure global environment variables for dashboards and set up service accounts or SQL IDs. ~ Content Scheduling and Security: -Schedule content for Shiny, Markdown, and API applications. -Troubleshooting and Performance Tuning: -Troubleshoot deployment issues, including logs, connection issues, and token errors. -Scale and tune the performance of RStudio applications, addressing runtime changes and timeout errors. -Conduct root cause analysis and investigate server issues reported by multiple users, including application performance, authentication, and connectivity issues. ~ Monitor and manage the availability of servers, applications, file systems, and databases, including expansion and cleanup. ~ Post-Patching and Security Management: -Perform post-patching checkouts for production and non-production environments. -Rotate passwords for LDAP or CIFS service accounts using CyberArk and manage SSL certificate and product license renewals. ~ Design, develop and implement robust and scalable data analytics using modern technologies. Collaborate with cross functional teams and practices across the organization including Commercial, Manufacturing, Medical, FoundationX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions. Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible. Champion continuous improvement initiatives identifying opportunities to optimize performance security and maintainability of existing data and platform architecture and other technology investments. Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation, deployment. Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization. Stay-up-to-date on the latest trends, technologies in data engineering and cloud platforms. Proven experience in a Posit server environment , including design, installation, and maintenance of Posit Workbench and Connect related technologies. Strong proficiency with Posit Package Manager and experience in setting up and maintaining containers for various R packages and versions, with a solid understanding of Kubernetes architecture and pod management. Proficient in Unix/Linux command line skills, including the use of the vi editor. Familiarity with cloud infrastructure, specifically hosting Posit environments on AWS and Azure, and experience with Redshift, Red Hat Enterprise Linux (RHEL), and Ubuntu operating systems. Experience with R and Python programming, including relevant R packages and Python libraries for data analysis and visualization. Knowledge of statistical analysis and troubleshooting end-user issues.