• Design, develop, and maintain data pipelines and datastores that support enterprise analytics, data science, and operational workloads. • Lead and support large-scale database migration initiatives, including on-premises to cloud migrations. • Monitor, analyze, and optimize the performance and stability of data layer services and platforms. • Ensure data integrity, quality, and compliance across pipelines and datasets. • Collaborate closely with peers across engineering, analytics, and technology teams. • Guide, coach, and mentor data engineers, BI developers, and analysts. • Design and implement enterprise-scale data solutions with long-term business impact. • Build and maintain data processing solutions using Python and/or Scala. • Work with a variety of data ingestion patterns, including SFTP, APIs, streaming, and batch processing. • Design and support database models optimized for analytical and reporting use cases. • Implement monitoring, alerting, and observability for data pipelines and infrastructure. • Maintain clear and comprehensive documentation of data architectures, pipelines, and processes. • Work within an Agile environment, collaborating through tools such as Jira and Git

• Design, build, and maintain scalable data pipelines and warehouse infrastructure to support analytics and reporting needs. • Develop and maintain clean, well-modeled datasets optimized for analytics and self-service reporting. • Partner with product managers and stakeholders to define key metrics, reporting requirements, and product analytics needs. • Build and maintain BI dashboards and reports that provide visibility into product performance, operational metrics, and customer behavior. • Ensure data quality, reliability, and governance across the analytics platform. • Integrate and maintain data ingestion pipelines from internal and external systems. • Improve the data warehouse performance and data modeling layer to enable faster and more reliable analytics. • Enable self-service analytics by creating curated datasets and semantic layers for internal teams. • Document datasets, metric definitions, and data lineage to improve data discoverability and trust in data. • Collaborate with engineering teams to ensure data is captured, modeled, and surfaced effectively for analytics use cases.

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 dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. 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. 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 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, Experience and Circumstances: • Minimum of 5+ years of experience working as a Data Engineer and/or in cloud modernization • Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes • Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc • Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB • Excellent problem-solving, analytical, and critical thinking skills • Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail • Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems Preferred Skills and Experience: • Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology • 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 Compensation: The compensation range for the position in the U.S. is $88,680 to $168,480 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area): $106,440 to $202,200 California (All Other): $97,560 to $185,280 Colorado: $88,680 to $168,480 Massachusetts: $88,680 to $185,280 New York City: $106,440 to $202,200 Washington: $97,560 to $185,280 Washington DC: $97,560 to $185,280 This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Applications will be accepted on a rolling basis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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.

• Meeting with data product and AI teams to discuss the data contract, requirements, and objectives • Assisting the data quality team with data cleanup, issue tracking, profiling, and validations • Meeting with data pipeline teams to map out data transformations, data flows, and load validations for building Data Products • Collaborating with Data Product and AI teams to develop data interfaces for Data Products • Developing data integration workflows to stage, transform, and build Data Products • Developing and testing SQL queries in Snowflake to support integration code • Coding in modern data integration tools • Creating REST APIs to support data interfaces • Developing Reporting Semantic Models to support Data Product interfaces • Participating in team meetings and design sessions to plan and status project tasks.