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Senior Data Engineer – Data Infrastructure & Analytics

SpringCube

Full time - Manager

Media & Entertainment

Singapore ( Hybrid )

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.

Senior Data Engineer – Data Infrastructure & Analytics

Company Overview

A national media network and leading content creator, this company operates multiple TV channels, radio stations, and digital platforms. It engages millions daily, delivering trusted and innovative content while leveraging data and technology to enhance audience experience and business insights.

Job Description

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure. This role ensures data availability, reliability, and performance to support data-driven decision-making across the organization.

Scope of the Role
  • Design and optimize data storage solutions, including data warehouses and data lakes.
  • Develop and maintain ETL/ELT processes and data pipelines.
  • Ensure data integration from multiple sources for analytics and reporting.
  • Implement data security, governance, and compliance measures.
  • Collaborate with cross-functional teams to fulfill business data requirements.

Key Responsibilities:

  • Build and manage data pipelines for processing structured and unstructured data.
  • Optimize data models and schemas for efficient storage and retrieval.
  • Work with cloud environments (e.g., AWS, Azure) to deploy and manage data infrastructure.
  • Support data scientists and analysts by providing clean, reliable, and well-structured data.
  • Monitor system performance, troubleshoot issues, and implement enhancements.
  • Maintain technical documentation and best practices for data engineering.
  • Ensuring data security and compliance in a regulated environment.
  • Optimizing data infrastructure for high performance and scalability.
  • Managing data consistency across distributed systems.
Required Skills & Competencies

Foundational & Leadership Skills:

  • Strong problem-solving and analytical skills.
  • Effective communication and collaboration in cross-functional teams.

Technical Skills:

  • Proficiency in Python, SQL, and data structures.
  • Hands-on experience with ETL/ELT processes and data integration.
  • Knowledge of big data technologies (Spark, Kafka, Hadoop).
  • Experience with relational databases and cloud platforms (AWS, Azure).
  • Familiarity with data governance, security, and compliance standards.
  • Experience with DevOps, MLOps, and CI/CD pipelines is a plus.
Experience & Qualifications
  • 3+ years of experience in data engineering or a related field.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.
  • Certifications in cloud computing and data engineering are 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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