Data Engineer: Hybrid, Growth‑Driven Data Platforms

Kyndryl; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

Kyndryl in Singapore is seeking a Data Engineer to own and shape data platforms, turning raw data into actionable insights for decision‑makers. You’ll build, cleanse and harmonise data sets, design pipelines, and ensure data quality across the analytics stack.

The role emphasizes collaboration with business stakeholders, data architects, and development teams in a hybrid work environment that supports learning and career growth. Candidates should thrive in a fast‑moving data‑driven setting.

Qualifications

• Proficient in data cleaning and transformation (SQL, pandas, R) to ensure data accuracy.
• Experience building ETL pipelines (SSIS, AWS DMS, Python, AWS Glue, Spring).
• Proficient in database design and various databases (SQL, PostgreSQL, AWS S3, MongoDB, etc).
• Familiar with Databricks and data fabric concepts.
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience with data modelling, governance and data storage infra.

Responsibilities

• Design, develop and deploy data tables, views and marts in data warehouses and data lakes.
• Perform data extraction, cleaning, transformation and flow.
• Ability to perform web data extraction as part of data sourcing.
• Build and maintain large-scale batch and real-time data pipelines.
• Integrate data silos in scalable and compliant ways.
• Collaborate with cross-functional teams to build data-driven products.
• Develop backend APIs and support databases for applications.
• Work in an Agile CI/CD environment and with pair programming.

Skills

SQL

Python

ETL

Data Warehousing

Cloud AWS

Databricks

REST APIs

Unix/Linux

Web scraping

Tools

SSIS

AWS DMS

Python

AWS Lambda

ECS

AWS Glue

Spring

Databricks

Job description

Kyndryl in Singapore is seeking a Data Engineer to own and shape data platforms, turning raw data into actionable insights for decision‑makers. You’ll build, cleanse and harmonise data sets, design pipelines, and ensure data quality across the analytics stack.

The role emphasizes collaboration with business stakeholders, data architects, and development teams in a hybrid work environment that supports learning and career growth. Candidates should thrive in a fast‑moving data‑driven setting.