Data Engineer: Build Scalable Data Pipelines & Insights

Kyndryl; Singapore; Hybrid; SGD 90,000 - 150,000; Full time

Job summary

Kyndryl is seeking a Data Engineer to design and build data platforms that empower decision-makers. You will ensure a pristine, harmonized data supply accessible to analysts and applications across the organization.

Join a team that values craftsmanship, CI/CD, and collaboration. You’ll transform raw data into insights, shape pipelines end-to-end, and work in a hybrid, growth-focused culture designed to accelerate your career.

Qualifications

• Strong experience in data cleaning and transformation to ensure data accuracy.
• Experience building ETL pipelines with listed tools and cloud platforms.
• Proficiency in SQL and data platforms for reliable data access.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).

Responsibilities

• Design, build, and deploy data tables, views, and marts across data warehouses and data lakes.
• Perform data extraction, cleaning, transformation, and loading.
• Create scalable batch and real-time data pipelines with data processing frameworks.
• Integrate data silos while ensuring compliance and governance.
• Collaborate with cross-functional teams to deliver data-driven products.

Skills

SQL

Python

Data cleaning

ETL

Data modeling

Tools

SSIS

AWS DMS

AWS Lambda

ECS

AWS Glue

Spring

Cassandra

Hadoop

Spark

Kafka

Job description

Kyndryl is seeking a Data Engineer to design and build data platforms that empower decision-makers. You will ensure a pristine, harmonized data supply accessible to analysts and applications across the organization.

Join a team that values craftsmanship, CI/CD, and collaboration. You’ll transform raw data into insights, shape pipelines end-to-end, and work in a hybrid, growth-focused culture designed to accelerate your career.