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Open nowFirst seen 32 hours ago

Data Engineer

VINOVA27 open roles

Where
Singapore
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Your applicationOpen nowData EngineerVINOVA · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on VINOVA's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 32 hours ago

The posting

Company Overview / Employee Value Proposition

Established in 2010, Vinova is a passion-driven and award-winning development company for mobile, web, and enterprise applications. Our clients span the globe and cover a wide range of projects including IoT, blockchain, banking, fintech, networking, and ecommerce. Vinova earns respect from customers by being committed to quality, flexibility, and speed. We strive to build great products by working with a passion, working closely with our customers, and through open but disciplined collaboration. You will be working in an encouraging and challenging environment, taking advantage of the latest technology to develop excellent mobile apps for clients. You will be engaging clients in both on-site and off-site support. Interested to join our all-star team? Submit your application to us now! Tell us why you want to work with us and why you think you'd be a good candidate. We are looking forward to hearing from you!

Job Summary

We are seeking a highly motivated and experienced Data Engineer (up to Senior Consultant level) to join our team for a major Government project. The ideal candidate is not just a data developer but a technical strategist who shares a strong conviction in the Government's mission to serve the public through robust digital infrastructure. You will play a critical hybrid role, combining deep data engineering expertise with DevOps and cloud infrastructure capabilities to deliver secure, scalable, and impactful data solutions.

Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust data pipelines and ETL/ELT workflows using AWS Glue to ensure seamless data ingestion from multiple sources.
  • Data Infrastructure & Optimization: Manage and optimize AWS Redshift data warehouse operations, configure S3 data lakes, and implement advanced data partitioning, indexing, and compression strategies.
  • Government Collaboration: Collaborate closely with the IPOS IT Department to support Infrastructure as Code (IaC) deployments, provide technical support for data-related issues, and optimize database queries.
  • CI/CD & DevOps Integration: Develop and maintain automated CI/CD pipelines for data workflows using GitLab, configure AWS Lambda functions for processing automation, and ensure strict version control for data assets.
  • Monitoring & Reliability: Set up comprehensive monitoring and alerting systems to proactively troubleshoot data pipeline failures and performance bottlenecks.
  • Documentation & Reporting: Maintain detailed technical architectures, runbooks, and operational procedures on SHIP-HATS Confluence. Track engineering tasks via SHIP-HATS Jira and lead monthly system health progress meetings.

Key Requirements

  • Experience: Proven strong background in Data Engineering, large-scale data pipeline development, and data warehouse design/optimization.
  • Government/Public Sector Mindset: Strong conviction in the Government's mission. Understanding of public sector security/operational standards (familiarity with SHIP-HATS or IPOS is a significant advantage).
  • Technical Expertise: Proficiency in SQL, Python, and shell scripting. Extensive hands-on experience with AWS data services (Redshift, S3, Glue, Lambda, CloudWatch).
  • DevOps & Infrastructure Skills: Deep knowledge of CI/CD pipelines (GitLab preferred) and practical experience with Infrastructure as Code (Terraform, CloudFormation).
  • Analytical & Troubleshooting Skills: Strong problem-solving mindset with the ability to understand data modeling, database design principles, and execute performance optimization.
  • Personality: Hands-on, proactive, and adaptable. Excellent communication skills to articulate complex data architectures to both technical teams and cross-functional stakeholders.

Why Join Us?

  • Competitive salary & benefits package
  • Career growth & professional development in a fast-paced tech environment.
  • Collaborative and innovative work culture with exposure to the latest technologies
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