<p>Datastage Platform Engineer</p> <p>Must Have Technical/Functional Skills</p> <ul> <li>3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows. </li><li>Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud. </li><li>Proven experience in platform and infrastructure engineering, particularly in cloud environments. </li><li>Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL). </li><li>Proficiency in programming languages such as Python, Java, or Shell scripting for data operations. </li><li>Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform). </li><li>Knowledge of data security, governance, and compliance best practices. </li><li>Strong troubleshooting, problem-solving, and analytical skills. </li><li>Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. </li></ul> <p>Roles & Responsibilities:</p> <ul> <li>Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks. </li><li>Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability. </li><li>Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization. </li><li>Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data). </li><li>Build and support data platforms by integrating tools and technologies across the data engineering stack. </li><li>Design and implement DevOps pipelines for automation of data operations in cloud environments. </li><li>Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle. </li><li>Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components. </li><li>Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions. </li></ul> <p>Salary Range- $100,000-$125,000 a year</p> <p>#LI-CO1</p> <p>#LI-SN1</p>