Data Engineering Lead

1 week ago

Changi, Singapore Changi Airport Group Full time
About the Role

We are seeking a highly skilled Data Engineering Lead to join our team at Changi Airport Group. As a key member of our data engineering team, you will be responsible for designing, implementing, and maintaining the data pipelines and infrastructure that support our machine learning projects.

Key Responsibilities:
  • Architect and implement scalable data solutions to address complex business challenges, leveraging advanced analytics, statistical methods, and machine learning techniques.
  • Partner with data scientists and ML engineers to translate data requirements into actionable insights, optimizing feature engineering processes and model deployment strategies.
  • Construct and manage modern data infrastructure, including data warehouses and data lakes, to facilitate seamless data access for analysis and model training.
  • Continuously optimize data pipelines for performance, scalability, and cost-effectiveness, considering factors such as data volume, processing speed, and resource utilization.
  • Collaborate closely with DevOps and IT teams to ensure smooth deployment, monitoring, and maintenance of data pipelines in production environments.
  • Work cross-functionally to ensure adherence to data governance, security, and privacy regulations.
  • Mentor junior team members and contribute to the overall data strategy of the organization.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 5 years' work experience.
  • Extensive hands-on experience with cloud platforms, particularly AWS and GCP, including their data services and analytics offerings.
  • Strong coding skills with proficiency in: Infrastructure as Code (e.g., Terraform, CloudFormation), Shell scripting, Python, SQL.
  • Deep understanding of big data technologies, distributed computing, and modern data architecture patterns.
  • Demonstrated ability to successfully deliver projects, meet milestones, and drive initiatives from conception to production.
  • Experience with data streaming technologies (e.g., Kafka, Kinesis) and batch processing frameworks (e.g., Spark, Hadoop).
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Strong problem-solving skills and ability to translate complex business requirements into technical solutions.
  • Excellent communication skills with the ability to collaborate effectively across cross-functional teams.
What We Offer:
  • A competitive salary of SGD $120,000 - $180,000 per annum, commensurate with experience.
  • A comprehensive benefits package, including medical, dental, and vision insurance, retirement plan, and paid time off.
  • Opportunities for professional growth and development, including training, mentorship, and career advancement.
  • A dynamic and supportive work environment, with a diverse team of professionals from various backgrounds and disciplines.

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