Data Engineering

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.

Responsibilities:

• Design, develop, and deploy quality data solutions that are cost-optimal (processing time, cluster utilization, and Azure services), secure, and scalable (batch and/or realtime) in accordance with the unified data architecture (Cloud/On-Premise) and implementation strategies (To-Be and transient).
• Analyze, design, develop, and deploy with the team quality data solutions that are cost-optimal (processing time, cluster utilization, and Azure services), secure, and scalable (batch and/or realtime) in the Cloud Lakehouse or On-Premise Datalake, if required, in accordance with the implementation strategy.
• Propose, develop, and manage the implementation of standardized tools that promote the adoption of best practices, frameworks, and components of the Data COE.
• Lead root cause analysis (RCA) and help solve complex problems that require expertise beyond the expertise of most people involved.
• Provide technical support to less senior roles in the event they are unable to diagnose or resolve a major incident or problem.
• Propose, design, build, and manage the implementation of controls over the freezing and production flow of data solutions to maintain healthy rejection and rollback indicators.
• Propose and design efficient and effective implementation strategies for solutions in accordance with the unified data architecture and other market architectures.
• Analyze and optimize production processes that show deteriorating performance and improper use of computing resources to maintain platform stability, thereby capturing lessons learned and sharing best practices with the Data COE.
• Co-create guidelines, best practices, development standards, and technical advice for solutions.
• Shape technical and non-technical levers (e.g., skills training, change management, data governance, technology adoption, data engineering, among others).
• Analyze the complexity of the data landscape to develop a high-impact approach utilizing cutting-edge new technologies.
• Act as a radar or point of contact for new knowledge and technologies related to data strategy in the Data COE. Must be a trainer of trainers.
• Actively contribute through the application of knowledge and experiences to the Data COE community.

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

Proficiency: 7+ years of experience in the required technologies.

Competencies:

* 7 or more years of experience implementing cloud solutions (regardless of the cloud) with the required technologies, having performed the following activities:

• Leadership and deployment of data ingestion and transformation solutions in Lake House using cloud services.
• Leadership, analysis, and development using distributed processing in Spark using the Python, Scala, and SQL APIs.
• Optimization of existing or existing processes with a focus on cost reduction (processing time, cluster usage, and Azure services) in the consumption of cloud services.
• Leadership and optimization of process scheduling.
• Leadership and deployment of solutions in production using DataOps, leveraging continuous integration and deployment tools.
• Analysis and development using distributed processing in Spark using PySpark/Spark in batch (mandatory) and real-time (desirable).
• Development and deployment of best practices, frameworks, and development standards on on-premise and cloud platforms.
• Consulting and technical advice on the implementation strategy for cloud platform solutions.
• Proven experience as a leader or benchmark in the region in data engineering and architecture.
• Experience as a community leader and/or having taught the technology at a higher education institution or institute.

- Hold The Following Certifications:

• Databricks: Databricks Certified Associate Developer for Apache Spark, Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional, Azure Databricks Certified Associate Platform Administrator, Databricks Certified Hadoop Migration Architect, Databricks Certified Data Analyst Associate
• Azure: AZ-900: Microsoft Azure Fundamentals, DP-900: Microsoft Azure Data Fundamentals, DP-203: Azure Data Engineer Associate, DP-420: Azure Cosmos DB Developer Specialty, AZ-305: Azure Solutions Architect Expert, DP-500: Azure Enterprise Data Analyst Associate.
• Agile methodology (in projects): PMI & SaFe *7 or more years of experience working on the following projects:
• Analyzing and processing large volumes of data
• Building data pipelines, ETL, and ELT using cloud services
• Deploying scalable solutions on cloud platforms into production
• Migrating processes to on-premise and/or cloud platforms
• Optimizing processes using distributed processing (on-premise and/or cloud)
• Strategic design of data platforms
• Training and upskilling of technical skills for data roles
• Managing regional data professional communities

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!

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