Senior Lead, Data Engineer Workforce Analytics
CRAFZ Heredia (CRAFZ) Afz
Kyndryl
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day.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
Join Kyndryl, the world’s largest technical services company, with 80,000 employees operating in over 60 countries and serving 75% of the Fortune 100 to modernize and manage the world’s mission-critical systems. Kyndryl provides advisory, implementation, and managed services to de-risk and support digital transformations.
Our business is to translate the skills inherent in our technical and consultative workforce into customer impact. We therefore seek to optimize the development and deployment of our employees’ skills, while providing an industry-leading experience for our Kyndryls and our clients.
Kyndryl is one of the Top 100 Global Most Loved Workplaces®, and as a cutting-edge services company we know that our people are our success. Kyndryl is a global, largely remote company, where you join a group of 40 People and Workforce Analytics professionals made up of business translators, data scientists, analysts and developers. We are fast, flat, and focused: you will engage with senior leadership, a diverse group of HR professionals, fellow data scientists and analysts as well as business leaders to ensure our insights are both scientifically rigorous and aligned with our business goals. Your work will directly influence our enterprise strategy and operations and impact tens of thousands of employees.
As a Senior Data Engineer for our Workforce Analytics team, you will be a hands on Data Engineer driving integration of our strategic platforms in support the creation of an end-to-end labor optimization model. This model solves for the technical and other skills needed to provide value to our clients, the growth, development and satisfaction of our workforce as well as contractual, legal, geographic and cost constraints. You will create the data model that will best leverage diverse datasets to optimize how we staff, hire, and train our 80,000 Kyndryls.
Specifically you'll be responsible for:
Platform Integration: Lead the integration of multiple strategic platforms, ensuring seamless data flow and interoperability to support the development of workforce optimization models.
Data Pipeline Development: Design, build, and maintain robust data pipelines and ETL processes that collect, cleanse, and process data from various sources to create a comprehensive data ecosystem.
Optimization Model: Collaborate with data scientists, analysts, and other stakeholders to support build and refine optimization models that predict skills gaps and recommend actions such as upskilling, hiring, or engagement of workers.
Data Management and Architecture: Develop scalable data architecture solutions that ensure high performance, reliability, and accessibility of workforce data across the organization.
Collaboration and Stakeholder Management: Work closely with cross-functional teams including HR, business units, and IT to align data engineering efforts with business needs and strategic goals.
Automation and Continuous Improvement: Implement automation in data processes to improve efficiency and accuracy, continuously exploring new tools and technologies to enhance data integration and modeling capabilities.
Data Governance and Quality: Establish data governance practices and ensure data quality, integrity, and security are maintained across all platforms.
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. You have a growth mindset; keen to drive your own personal and professional development, and to support others in theirs. You take your work seriously and prioritize customer impact. Most importantly, you understand that the most successful teams trust and enjoy each other and are naturally inclusive in how you work with others.
To be successful in this role you will have the following skills and expertise:
4-7 years of proven experience as a Data Engineer, preferably in workforce management, or a related field.
Strong experience with ETL processes and data pipeline design using SQL, Python, or similar.
Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
Experience with graph databases and query languages (e.g., Neo4j, GraphQL) is a plus.
Understanding of data modeling, data warehousing, and relational database concepts.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Data governance Data management Data pipelines Data quality Data Warehousing Engineering ETL GraphQL Hadoop Neo4j Pipelines Python RDBMS Security Spark SQL
Perks/benefits: Career development Startup environment
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