Data Engineer-Data Integration

IBM Consulting Overview In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role and Responsibilities As a Data Engineer at IBM, you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Implementing and validating predictive models as well as creating and maintaining statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques.
• Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements.
• Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Building teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results.

Required Education

• Bachelor's Degree

Preferred Education

• Master's Degree

Required Technical and Professional Expertise

• Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization.
• Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources.
• Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities.
• Hands-on experience with dimensional and relational data modeling techniques to support analytics and reporting requirements.

Preferred Technical and Professional Experience

• Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling.
• Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes.
• Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks.