Information Technology Lead Data Engineer

The Lead Data Engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process such as the challenges of data ingestion involving large or near-real-time datasets the maintenance of high data quality and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities

• Be an effective distributed-system implementer in the following core activities:

o Design and develop data engineering services and their ecosystem using distributed databases (relational columnar graph in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka Kinesis Spark).

o Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

o Design data models for mission-critical high-volume near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.

o Design and develop intuitive highly automated self-service data platform functions for business users.

o Design build and operate scalable and reliable data pipelines on the Databricks platform.

• Explore evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD MS) are highly desirable.
• 5 years of relevant industry experience in some or most of the following technical areas:
  o Advanced programming skills in Python. Conversant with data structures and algorithm design.
  o Experience in building data pipelines (including data collection warehousing processing analysis monitoring and governance) using open-source data ingestion platforms.
  o Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3 RedShift Elasticache PostgreSQL and EMR.
  o Hands on experience with Databricks workspace cluster management AI Agent capabilities and job orchestration
  o Prior experience in modern software development is required (such as web frontend UI backend API microservices understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python Java Scala or C#).

We thank all candidates for your interest in Singapore Airlines and regret that only shortlisted candidates will be notified.