Data Engineer - Databricks Platform
- Compensation
- SGD 7K–SGD 10K / mo
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on experience designing and developing data engineering solutions using Databricks, Apache Spark, Structured Query Language (SQL), and Python.
- Proven experience building and supporting Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) pipelines in cloud environments such as Amazon Web Services (AWS), Microsoft Azure,
- Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture principles.
- Experience working with relational and non-relational databases, cloud storage platforms, and large-scale distributed data processing frameworks.
- Understanding of data governance, security, access controls, data quality management, and regulatory compliance requirements.
- Familiarity with Agile development practices, application programming interfaces (APIs), version control, continuous integration, and collaborative software engineering methodologies.
Nice to have
- Experience with Microsoft Fabric and lakehouse architecture.
- Knowledge of Apache Kafka, Apache Hadoop, or other big data technologies.
- Experience developing real-time and streaming data solutions.
- Exposure to web data extraction and automation technologies.
- Understanding of data modelling, analytics platforms, and business intelligence solutions.
- Relevant cloud or Databricks certifications.
Full description
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The RoleYour Role
Passionate about building modern data platforms and transforming complex data into meaningful business insights? At Kyndryl, our Data Engineers design, develop, and optimize scalable data solutions that enable organizations to make informed, data-driven decisions.
As a Data Engineer specializing in Databricks, you will play a critical role in architecting and maintaining enterprise data platforms that support advanced analytics, reporting, artificial intelligence, and business intelligence initiatives. You will work across cloud environments, integrating diverse data sources and creating reliable data pipelines that deliver trusted, high-quality information to stakeholders.
This role offers the opportunity to work with cutting-edge cloud technologies, modern data architectures, and large-scale data engineering projects while collaborating with multidisciplinary teams to solve business challenges through data innovation.
What You Will Do
- Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies.
- Build and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes to ensure high-quality, reliable, and accessible data.
- Integrate data from multiple sources, ensuring scalability, compliance, security, and adherence to data governance standards.
- Develop backend data services and application programming interfaces (APIs) to support data-driven applications and analytics solutions.
- Collaborate with Data Architects, Business Analysts, Project Managers, Developers, and Analytics teams to deliver business-focused data solutions.
- Support Agile delivery practices, continuous integration, code reviews, and operational excellence across the data platform lifecycle.
Your Future at Kyndryl
As a Data Engineer, you will have opportunities to deepen your expertise in modern cloud data platforms, advanced analytics, and artificial intelligence initiatives. You can grow into roles such as Senior Data Engineer, Data Architect, Cloud Data Architect, Analytics Lead, or Technical Delivery Leader. Through continuous learning, certifications, and hands-on project experience, you will build highly sought-after skills in data engineering and digital transformation.