In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.

Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset-a true data alchemist.

Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made - and your lifecycle management expertise will ensure our data remains fresh and impactful.

So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here

Who You Are

You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.

Required Skills and Experience

• 6+ years of experience in data engineering with a minimum of 3 years on AWS.
• Proficiency in AWS data services, including S3, Redshift, DynamoDB, Glue, Lambda, and EMR.
• Strong SQL skills and experience with NoSQL databases on AWS.
• Programming skills in Python, Java, or Scala for data processing and ETL tasks.
• Solid understanding of data warehousing concepts, data modeling, and ETL best practices.
• Experience with machine learning model deployment on AWS SageMaker.
• Familiarity with data orchestration tools, such as Apache Airflow, AWS Step Functions, or AWS Data Pipeline.
• Excellent problem-solving and analytical skills with attention to detail.
• Strong communication skills and ability to collaborate effectively with both technical and non-technical stakeholders.
• Experience with advanced AWS analytics services such as Athena, Kinesis, QuickSight, and Elasticsearch.
• Hands-on experience with Amazon Bedrock and generative AI tools for exploring and implementing AI-based solutions.
• AWS Certifications, such as AWS Certified Big Data - Specialty, AWS Certified Machine Learning - Specialty, or AWS Certified Solutions Architect.
• Familiarity with CI/CD pipelines, containerization (Docker), and serverless computing concepts on AWS.

Preferred Skills and Experience
• Experience working as a Data Engineer and/or in cloud modernization
• Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
• Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
• Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
• Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

Being You

Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!

If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.