Data Engineer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Data Engineer specializing in Data Platforms, you will develop applications on Big Data technologies, including API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries.

Your Primary Responsibilities Will Include

• Design and Develop Applications: Design, write, and debug complex code for applications on Big Data technologies, including API development.
• Leverage Technical Expertise: Utilize exceptional technical abilities to understand and develop applications using Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries.
• Lead Code Development: Lead the development of complex code, ensuring high-quality and efficient solutions.
• Optimize Application Performance: Optimize application performance, scalability, and reliability on Big Data technologies.
• Collaborate on Solution Delivery: Collaborate with teams to deliver solutions that meet business requirements and stakeholder expectations.

• Big Data Technologies Expertise: Experience with developing applications on Big Data technologies, including API development, and a strong foundation in traditional Application Development.
• Analytics Libraries Knowledge: Experience with Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries, with the ability to apply this knowledge to develop complex applications.
• Complex Code Development: Experience in designing, writing, and debugging complex code, with a focus on delivering high-quality and efficient solutions.
• Technical Leadership: Experience leading code development, leveraging exceptional technical abilities to guide teams and ensure high-quality solutions.
• Performance Optimization: Experience optimizing application performance, scalability, and reliability on Big Data technologies, with a focus on meeting business requirements and stakeholder expectations.
• Hands on experience with Databricks and Azure data management solutions

• Open-Source Technology Expertise: Experience with open-source Natural Language Processing and statistical and big data computing libraries is beneficial for developing complex applications on Big Data technologies.
• Advanced Analytics Knowledge: Familiarity with Analytics libraries and their application in developing complex code is advantageous for this role.
• Technical Innovation: Exposure to emerging trends and technologies in Big Data and Application Development can enhance the ability to design and develop innovative solutions.
• Hands on experience with Snowflake and AWS data management solutions