Job Description Summary
Designs and builds data platforms, ensures availability of clean and normalized data sets, and adheres to regulations and policies using a well-defined methodology, critical thinking, domain expertise, consulting, and software engineering.
Job Description
Are you ready to dive into the world of data engineering at Kyndryl? As a Data Engineer, you'll develop data platforms that serve as powerful tools for decision-making. Your role involves ensuring access to pristine, harmonized data for all users.
In this role, you'll be at the forefront of data infrastructure, transforming raw data into actionable insights that support strategic decisions and innovation. You will understand project objectives from a business perspective, identify data quality issues, and develop data pipelines for cleansing, normalization, and transformation.
You will scrutinize data solutions to ensure they meet business and technical requirements, maintaining data freshness and relevance throughout its lifecycle. This position requires a passion for data, technical expertise, and a proactive approach to data management.
Join us to transform data into stories of innovation and growth at Kyndryl.
Your Future at Kyndryl
We offer unique opportunities for career growth, hands-on experience, learning, and certification in major platforms. Whether broadening your knowledge or specializing, you'll find your path here.
Job Qualifications
Who You Are
You are experienced, growth-minded, customer-focused, and inclusive in your work approach.
Required Skills and Experience
* 5+ years of data consulting or relevant experience in AI & Analytics, with a proven track record in client relationships
* Ability to identify data and AI opportunities, and develop proposals and pitches
* Experience leading AI and Generative AI workshops
* Understanding of customer needs and data maturity assessment
* Evaluation and recommendation of data pipelines, frameworks, tools, and platforms
* Leadership in data feasibility studies and PoC projects using Python, Flask, FastAPI, Streamlit
* Experience with cloud services (AWS, GCP, Azure) for deploying PoCs and pipelines
* Experience with big data frameworks on-premises and cloud-based
* Collaboration with AI architects, engineers, and data scientists to develop tailored solutions
* Experience leading integration and deployment of data and AI products
* Staying updated with advancements in big data and GenAI
* Working with cross-functional teams to develop AI offerings
Preferred Skills and Experience
* Bachelor's degree in computer science, Information Security, or related field
* Cloud certifications in data, analytics, or architecture (AWS, GCP, Azure)
* Excellent communication, interpersonal, and storytelling skills
* Experience with statistics, PowerPoint, Excel, and industry trends in Data, AI, and GenAI
* Leadership qualities, proactive attitude, and adaptability
#J-18808-Ljbffr