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As an 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 maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques

Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements

Work 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.

Build 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

We are seeking a skilled Data/ETL Engineer with 3-5 years of experienc

Including 2+ years of hands-on experience with Fivetran (HVR/SaaS).

The ideal candidate will have a strong background in data integration, ETL processes, and data warehousing.

The candidate will also have experience. working with variety of Fivetran connectors such as SaaS Apps/APIs, relational DBs, Files and event sources.

Familiarity with cloud platforms AWS and their data services

Preferred technical and professional experience

3-5 years of experience in Data/ETL engineering.

2+ years of experience with Fivetran.

Ability to communicate results to technical and non-technical audiences