What are the responsibilities and job description for the Datastage Platform Engineer (with Cloudpak implementation knowledge) position at Ventures Unlimited?
Job Details
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.
- **3-5 years** of professional experience in data engineering or cloud infrastructure roles, with a focus on DataStage and cloud technologies.
Roles & Responsibilities
**Key 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $100,000 - $140,000
