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Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology Consulting

SpringCube

Full time - Associate/Junior Executive

IT Services & Consulting

Singapore ( Onsite )

Published 2 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview

A global professional services organization with a significant presence in Asia-Pacific. Their AI & Data team comprises over 500 specialists dedicated to implementing information-driven strategies, data platforms, and advanced analytics solutions across various industries. They offer end-to-end services, from strategy to implementation, and foster a flexible, inclusive, and globally connected work environment.

Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology Consulting

About the opportunity

The AI & Data team within a leading Asia-Pacific professional services organization is seeking experienced Data Engineers with expertise in either Snowflake or Microsoft Fabric to join their team in Singapore. This flexible full-time role involves designing, building, and maintaining data pipelines and delivering high-quality data solutions for clients. You will collaborate with data scientists, analysts, and business stakeholders, ensuring data quality, optimizing performance, and implementing data security best practices.

Your key responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
  • Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
  • Implement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.
  • Optimize data pipelines for performance, scalability, and cost-efficiency.
  • Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
  • Work with either Snowflake or Microsoft Fabric
  • Implement data security and privacy best practices to protect sensitive data.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Stay up-to-date with the latest trends and best practices in data engineering and big data technologies.

Skills and attributes for success

  • Experience in ETL, Data Engineering, Scripting.
  • Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
  • Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
  • Exceptional communication, documentation and presentation skills and stakeholder management experiences
  • Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

  • At least 2 years’ experience as a Data Engineer with experience in development and maintenance support
  • Data Migration experience in AWS, Azure, Hadoop, GCP environments
  • Experience in development and maintenance of data processing pipelines
  • Experience developing machine learning workflows
  • Experience in using Snowflake or Microsoft Fabric
  • Work closely with business analysts to create data component.

Ideally, you’ll also have

  • Dashboarding experience with Tableau / Power BI
  • Experience in engaging with both technical and non-technical stakeholders
  • Consulting experience and background, including engaging directly with clients
  • Degree in Computer Science or IT or Business Analytics

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.