Data Analytics Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Are you ready to embark on an exhilarating journey as a Data Analytics Engineer? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner. 

As a Data Analytics Engineer, your impact will be monumental. You will unleash the potential of data technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.

Prepare to immerse yourself in the world of data strategies and programs, crafting ingenious approaches to collecting, storing, analyzing, and visualizing data from diverse sources. Your technical expertise in a vast array of cutting-edge big data tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.

But that's not all – your role as a Data Analytics Engineer at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge data-driven strategies that reshape their future. Educating our customers about the latest Data Science technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.

Armed with an analytical approach, you will unveil strategies, assessments, recommendations, and comprehensive plans to address complex issues while seamlessly aligning both the technical and functional requirements of IT and the business. Your deep consulting skills and business acumen will be harnessed to analyze customer business issues, formulate hypotheses, and test conclusions, ultimately delivering data solutions that defy expectations.

If you have a passion for turning data into a force for change and thrive in a dynamic, fast-paced environment, this is your chance to shine! Unleash your creativity, embrace innovation, and become a master of efficiency as you create solutions that revolutionize customer business and IT landscapes. Join Kyndryl and become part of a remarkable team that turns data into success stories.

Your Future at Kyndryl
As a Data Analytics Engineer at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts – presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are

Join our dynamic team at Kyndryl, where innovation and cutting-edge technology come together to solve complex data challenges. As a Data Analytics Engineer, you'll have the opportunity to collaborate with brilliant minds and shape the future of data solutions across industries. If you're passionate about transforming data into actionable insights, we’d love to have you on board to drive our success and your career forward.
 

Your Role and Responsibilities:

• Design and develop data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses, lakes, or other data storage systems.

• Implement and maintain scalable data architectures and systems that support the ingestion, processing, and analysis of large volumes of structured and unstructured data.
• Work with AWS or Google cloud-based technologies to deploy and scale data solutions.
• Participate in