Data Engineering - Lead

Posted 7 Days Ago
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Bangalore, Bengaluru, Karnataka
Senior level
Cloud • Information Technology • Consulting
The Role
As a Data Engineering Lead at Kyndryl, you will lead the design, development, and deployment of scalable data engineering solutions. Responsibilities include crafting data platforms, managing ETL/ELT processes, mentoring a data engineering team, ensuring data quality and compliance, and collaborating with cross-functional teams to drive strategic decisions.
Summary Generated by Built In

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.

Lead the design, development, and deployment of scalable data engineering solutions using Databricks and other cloud technologies. Collaborate with product managers, data scientists, and business stakeholders to understand data needs and translate them into robust architectures. Define and implement best practices for data pipeline development, ETL/ELT processes, and data governance. Manage and mentor a team of data engineers, fostering a culture of excellence, collaboration, and continuous improvement. Oversee data quality, security, and compliance with industry standards and regulations. Work closely with cross-functional teams to ensure data-driven insights align with business goals and drive strategic product decisions. Stay updated with the latest technologies, tools, and best practices in data engineering, Databricks, and cloud computing.
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 Qualifications:

  • 8+ years of experience in data engineering, with at least 3+ years in a leadership role.

  • Expertise in Databricks, Spark, and related big data technologies.

  • Strong understanding of cloud platforms (AWS, Azure, or GCP) and their data services.

  • Experience in designing and managing ETL/ELT pipelines and data lakes/warehouses.

  • Solid knowledge of data modeling, data architecture, and distributed computing.

  • Proven experience working in product development and management with a data-driven approach.

  • Proficiency in Python, SQL, Scala, or other relevant programming languages.

  • Strong analytical and problem-solving skills, with a deep understanding of data governance and compliance.

  • Excellent communication and leadership skills, with the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

  • Experience with machine learning pipelines and MLOps best practices.

  • Familiarity with real-time data processing technologies (Kafka, Kinesis, etc.).

  • Knowledge of CI/CD pipelines for data engineering workflows.

  • Experience working in Agile/Scrum environments.


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.

Top Skills

Python
Scala
SQL
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The Company
HQ: New York City, NY
46,070 Employees
On-site Workplace
Year Founded: 2021

What We Do

We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems.

We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar.

Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.

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