Datastage Platform Engineer

Datastage Platform Engineer Must Have Technical/Functional Skills

• 3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows.
• Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud.
• Proven experience in platform and infrastructure engineering, particularly in cloud environments.
• Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL).
• Proficiency in programming languages such as Python, Java, or Shell scripting for data operations.
• Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform).
• Knowledge of data security, governance, and compliance best practices.
• Strong troubleshooting, problem-solving, and analytical skills.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Roles & Responsibilities

• Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks.
• Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability.
• Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization.
• Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data).
• Build and support data platforms by integrating tools and technologies across the data engineering stack.
• Design and implement DevOps pipelines for automation of data operations in cloud environments.
• Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle.
• Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components.
• Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions.

Salary Range- $100,000-$125,000 a year