Associate Data Fabric Engineer
Introduction
We are looking for a highly motivated and innovative entry level professional who has a passion for learning scalable and highly available Data Fabric solutions in a hybrid cloud environment with advanced analytical, data governance, data pipelines and data repositories to join the IBM Data Elite Team under the Expert Labs organization in IBM Software. This role will work directly with cross functional teams including architects, and experienced Data Fabric Engineers to help build and transform the customer solutions into a hybrid cloud environment. This position includes the ability to assist in addressing complex technical problems from our clients, including solution design & build, performance and scalability and deployment.
Your Role and Responsibilities
- The Entry Level Data Engineer will be responsible for Collaborating with customer and IBM technical teams on Data Fabric Use cases
- Collaborating with the Data Fabric Architect and other Data Fabric Engineers to prove the proposed architecture through an MVP implementation
Responsibilities:
- Assist in Modeling MVP solutions in an agile environment, that incorporates emerging IBM Cloud Pak for Data (CP4D) as an integratedend to end platform that is cloud native by design, architected as micro–services and containerized workloads.
- Assist in providing guidelines for technology adoption and implementation (i.e.,cloud migration, application modernization, data modernization).
- Participate in delivering the constantly expanding solutions that run on Open shift stack or micro–services framework.
- Responsible for helping to resolve Performance/Technical issues during implementations and migrations.
- Share your experiences and expertise via social investments –Blogs, White–papers, podcast etc.
Technical Skills:
- Knowledge of big data solutions, data warehouse architectures, infrastructure components, data governanceconsiderations, data integration and business analytics
- Experience with one or more relational and non–relational data stores (Hadoop, Object Stores, Hadoop, Db2, Netezza, Mongo DB, DataStax, EDB)
- Some experience with one or more leading cloud platforms like IBM Cloud, Amazon Web Services, Azure and Google Cloud
- Some experience with scripting languages such as Shell, Python
- Some experience working with various data structures and algorithms
Soft Skills:
- Analytical approach to problem–solving
- Leveraging technology to solve business problems
- Critical thinking with good problem–solving skills
- Good verbal, written, and interpersonal communication, very good listening,and interpretation skills
- Self–starter–identify, communicate, and act on issues and initiatives
Required Technical and Professional Expertise
- Some knowledge of with API/first architecture design, distributed systems (e.g., micro-services, Virtualization) and cloud infrastructure for large scale data warehouse, data lakes, data fabric).
Preferred Technical and Professional Expertise
- Experience working with cloud technology implementation is an advantage.
- Experience with implementing open–source technologies is an advantage