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Data Engineer

kyndryl · Singapore

New
Mid 🇬🇧 English
SQL Python SSIS AWS Lambda AWS Glue Spring Databricks Data Fabric Hadoop Spark Kafka RabbitMQ Selenium BeautifulSoup

Job description

About the role

Kyndryl runs and reimagines the mission-critical technology systems that drive advantage for leading businesses. As a Data Engineer in Singapore, you will design and build data platforms that turn raw data into actionable insights, ensuring clean, harmonized datasets are available to decision-makers. The role covers data pipelines, data warehouses, data lakes and data virtualization, within an Agile environment.

Key responsibilities

  • Design, develop and deploy data tables, views and marts in data warehouses, operational data stores, data lakes and data virtualization.
  • Extract, clean, transform and move data; web scraping may be part of the scope.
  • Build, launch and maintain large-scale batch and real-time data pipelines with data processing frameworks.
  • Integrate and collate data silos in a scalable and compliant way.
  • Work with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers and Data Analysts to build scalable data-driven products.
  • Develop backend APIs and work on databases supporting applications.
  • Work in an Agile environment with Continuous Integration and Delivery, using pair programming and code reviews.

Required profile

  • Proven experience and a growth mindset, with a customer-focused approach.
  • Experience building production-grade data pipelines and ETL/ELT integration.
  • Experience with big data environments on cloud platforms (AWS, Azure, Google Cloud).
  • Knowledge of system design, data structures and algorithms, and familiarity with REST APIs.
  • Comfortable in Windows and Linux development environments.

Required skills

  • Data cleaning and transformation (e.g. SQL, pandas, R)
  • ETL/ELT pipelines (SSIS, AWS DMS, AWS Lambda, ECS, EventBridge, AWS Glue, Spring)
  • Databases (SQL, PostgreSQL, MySQL, SQLite, MongoDB, Cassandra, etc.)
  • Databricks and Microsoft Data Fabric
  • Big data tools (Hadoop, Spark, Kafka, RabbitMQ)
  • Web scraping (BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js)
  • Data governance, access control and security best practices

What we offer

  • Career growth with hands-on experience, learning opportunities and certifications in four major platforms.
  • A hybrid-friendly culture and Be Well programs covering financial, mental, physical and social health.
  • Personalized development goals, continuous feedback and coaching.

Questions fréquentes

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Cliquez sur "Postuler maintenant" en haut de la page. Vous pouvez importer votre CV en 1 clic — Jobiglo extrait automatiquement vos informations et postule pour vous.
Source : ats:workday

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Published 1 day ago

Expires 1 month from now

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kyndryl

Singapore