14 days ago
Singapore, SingaporeMid Level
Responsibilities
- Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies.
- Build and optimize ETL and ELT processes for reliable, high-quality, accessible data.
- Integrate multiple data sources while meeting scalability, security, compliance, and data governance standards.
- Develop backend data services and APIs supporting data-driven applications and analytics solutions.
- Collaborate with Data Architects, Business Analysts, Project Managers, Developers, and Analytics teams.
- Support Agile delivery, continuous integration, code reviews, and operational excellence across the data platform lifecycle.
Requirements
- Hands-on experience designing and developing data engineering solutions with Databricks, Apache Spark, SQL, and Python.
- Experience building and supporting ETL and ELT pipelines in cloud environments such as AWS, Microsoft Azure, or GCP.
- Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture.
- Experience 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.
- Familiarity with Agile development practices, APIs, version control, continuous integration, and collaborative software engineering.
- Preferred experience with Microsoft Fabric, lakehouse architecture, Apache Kafka, Apache Hadoop, real-time and streaming data solutions, web data extraction and automation, data modelling, analytics platforms, business intelligence, and relevant cloud or Databricks certifications.
Benefits
- Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
- Access to certifications with Microsoft, Google, and Amazon, coaching, continuous learning, and hands-on development opportunities.
- Personalized development goals, career-path tools, continuous feedback, and opportunities to grow into senior data engineering, architecture, analytics leadership, or technical delivery roles.
Tech Stack
Categories
Data Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.