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About the Role
As a Data Engineer at Kyndryl, you will be a visionary behind our data platforms, crafting powerful tools for decision-makers and ensuring access to pristine, harmonized data. This role involves transforming raw data into actionable insights, driving strategic decisions and innovation. You will engineer the backbone of our data infrastructure, ensuring the availability of refined datasets. Utilizing a well-defined methodology, critical thinking, domain expertise, consulting finesse, and software engineering prowess, you will be the mastermind of data transformation. Your responsibilities include understanding business objectives, uncovering data quality issues, architecting data pipelines, and cleansing, normalizing, and transforming raw data. You will scrutinize data solutions to align with business and technical requirements and manage the data lifecycle to ensure data remains fresh and impactful.
Responsibilities
- Craft data platforms into powerful tools for decision-makers
- Ensure pristine, harmonized data is accessible
- Transform raw data into actionable insights that drive strategic decisions and innovation
- Engineer the backbone of data infrastructure
- Ensure availability of pristine, refined data sets
- Understand project objectives and requirements from a business perspective
- Uncover data quality issues and initial insights
- Architect data pipelines
- Cleanse, normalize, and transform raw data into final datasets
- Scrutinize data solutions for alignment with business and technical requirements
- Manage data lifecycle to ensure data remains fresh and impactful
Requirements
- Possess required experience
- Growth mindset
- Customer-focused
- Open and borderless (inclusive) in how you work with others
- Ability to manage multiple projects simultaneously
- Maintain a high level of attention to detail
Skills
- Data mining
- Data storage
- Extract-Transform-Load (ETL) processes
- Data pipelines development
- Tooling (Glue, Databricks, Synapse, Dataproc)
- Relational databases
- NoSQL databases
- PostgreSQL
- DB2
- MongoDB
- Problem-solving
- Analytical skills
- Critical thinking skills
- Communication skills (with technical and non-technical colleagues)
- Ability to derive technical requirements from business needs and problems
- Data Modelling
- Social coding (GitHub)
- Integrated Development Environments (Visual Studio)
Experience Level
- Experience working as a Data Engineer
- Experience in cloud modernization
Education Level
- Professional certification (Open Certified Technical Specialist with Data Engineering Specialization)
- Cloud platform certification (AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate)
- Degree in a scientific discipline (Computer Science, Software Engineering, Information Technology)
Benefits
- State-of-the-art resources
- Fortune 100 clients
- Benefits that offer choice, reflect employee diversity, and support employees and their families
- Employee learning programs with access to industry best learning and certifications (Microsoft, Google, Amazon, Skillsoft)
- Company-wide volunteering and giving platform
About the Company
- Kyndryl designs, builds, manages, and modernizes mission-critical technology systems globally.
- Committed to building a more equitable, inclusive world for employees, customers, and communities.
- Offers career growth opportunities, hands-on experience, learning, and certification in major platforms.
- Dedicated to sustainable progress for customers and supporting the communities where we work and live.
- Fosters a culture that is restless, empathetic, and devoted.
Equal Opportunity
- Welcomes people of all cultures, backgrounds, and experiences.
- Kyndryl Inclusion Networks create a workplace where all Kyndryls can find and provide support and advice.
- Enables employees to bring their whole self to work, individually and collectively.
- Supports the activation of an equitable culture.