Infrastructure Specialist-Azure DevOps

Introduction

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 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 search 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 behaviours.
• Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• We are seeking a skilled Azure Data Engineer with 5+ years of experience
• Including 3+ years of hands-on experience with ADF/Databricks
• The ideal candidate Data bricks,Data Lake, Phyton programming skills.
• The candidate will also have experience for deploying to data bricks.
• Familiarity with Azure Data Factory
  
  

Preferred Technical And Professional Experience

• Good communication skills.
• 3+ years of experience with ADF/DB/DataLake.
• Ability to communicate results to technical and non-technical audiences