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Senior Data Engineer – Data Pipeline Design and Maintenance

SpringCube

Full time - Manager

Electronics & Semiconductor

Singapore ( Onsite )

Published 4 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.

Senior Data Engineer – Data Pipeline Design and Maintenance

Company Overview
A global leader in technology, engineering, and innovation, committed to solving real-world challenges through cutting-edge solutions. The organization is renowned for its excellence in delivering impactful results across diverse industries, including commercial aerospace.

Job Description
The Senior Data Engineer will focus on designing, executing, and maintaining critical data pipelines to support a wide array of data-related use cases. Positioned within the Decision Science & Solutions (DSS) team, the role emphasizes proactive pipeline ownership, system monitoring, and data quality improvements. The DSS team works on use cases related to commercial aerospace and collaborates closely with data scientists, analysts, and software engineers.

Responsibilities

  • Design, develop, and maintain scalable and reliable data pipelines.
  • Monitor system performance, ensuring high-quality data processes and proactively resolving issues.
  • Collaborate with the DSS team to identify and address customer needs through data-driven solutions.
  • Use orchestration tools such as Airflow and AWS Step Functions for pipeline management.
  • Manage data with RDBMS solutions like MSSQL and PostgreSQL.
  • Write and maintain scripts in Python to support data-related operations.
  • Utilize BI tools like Tableau for data visualization and reporting.
  • Execute basic operational tasks on Windows and Linux operating systems.
  • Apply basic knowledge of computer networks to enhance data workflows.
  • Contribute to deploying production-grade data pipelines.
  • Employ a customer-focused approach to problem-solving and project development.

Requirements

  • Flexibility and adaptability to apply the best tools and methods for specific challenges.
  • Proficiency in data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
  • Expertise in RDBMS systems such as MSSQL and PostgreSQL.
  • Advanced Python scripting skills.
  • Basic familiarity with BI tools like Tableau.
  • Foundational knowledge of Windows/Linux OS and computer networks.
  • Experience with AWS technologies is advantageous.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

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