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Data Engineer


Why Kyndryl
Our world has never been more alive with opportunities and, at Kyndryl, we're ready to seize them. We design, build, manage and modernize the mission-critical technology systems that the world depends on every day. Kyndryl is at the heart of progress - dedicated to helping companies and people grow strong. Our people are actively discovering, co-creating, and strengthening. We push ourselves and each other to seek better, to go further, and we carry this energy to our customers. At Kyndryl, we want you to keep growing, and we'll provide plenty of opportunities to make that happen.
Please be aware that we have the Kyndryl candidate zone hosted by IBM for a certain period. If you have applied for an IBM role previously, you will be able to log into the candidate zone using your previous IBM log in details. When in the candidate zone, you will be able to see your previous applications for both IBM and Kyndryl.
For further information on privacy, please visit www.kyndryl.com/privacy.
Your Role and Responsibilities
Multicloud Management Platform (MCMP) is an integrated, single management and operations system that enables enterprises to consume, orchestrate and govern modern enterprise architectures. MCMP allows you to modernize and manage your infrastructure - across traditional, private cloud, and public cloud - securely and reliably.
The Data Science team is looking for a passionate and self-motivated data engineer. We are seeking a data engineer to work in a ground-breaking product that aims to be the best cognitive analytics product which gives tangible insights to our clients. This is a highly collaborative role where you will work cross-functionally with data science, software engineering, and product management.
As a Data Engineer, you will be responsible for designing, developing, and optimizing data pipelines and complex ETL processes on cloud data platforms (IBM Cloud, AWS, Azure, etc.), modern data concepts, data governance principles, data modeling, and architecture. Knowledge in applying other key technologies such as artificial intelligence, machine learning, etc., to solve business problems is a plus.
Required Technical and Professional Expertise
BS with 10+ years of experience or MS/Ph.D in Computer Science or related quantitative field.
10+ years of experience in technologies covering areas like data integration, data ingestionreal-time streaming, NoSQL, and data warehousing technologies
Software engineering skills with Jira / GitHub / IDE / Travis / GoCD
Experience in Agile CI/CD Development with Microservices, Docker, Kubernetes, and DevOps. Experience wit, h cloud platforms such as IBM Cloud, AWS, Azure and GCP.
Experience using ETL pipelines, data structures and data wrangling
Programming languages: Python, Java, or R
Understanding of ML, AI, Data Science
Experience with data analysis, data quality and anomaly detection
Preferred Technical and Professional Experience
Experience with Machine Learning Model Deployment and ModelOps.
Experience with Deep Learning tools: Tensforflow, Keras
Experience with MongoDB, DB2 or Postgres
Required Education
Bachelor's Degree
Preferred Education
Master's Degree
Company
Kyndryl
Posted
06/23/2022
Location
noida, DL, IN