Manager, Data Engineering
Singapore
About Certis
We are a leading advanced integrated security organisation that develops and delivers multi-disciplinary security and integrated services. By empowering our people, our goal is to enable our communities to stay safe and thriving. We offer a broad range of opportunities and career pathways for our people to grow and explore their potential. We believe that people, equipped with innovative thinking and technological capabilities will make the world safer, smarter and better.
Life at Certis
If you are a passionate individual looking for opportunities to expand your skills, and purposeful work instead of just a ‘job’, we would love to hear from you. At Certis, no two days look alike. Our work calendars are filled with chances to collaborate with others, and bring new initiatives to life. Whether you’re looking to improve a process, or have an innovative idea awaiting a technology solve, we want you to bring your ideas to the table. We are a close-knit team that looks out for each other, works hard to get the job done, and encourages each other to grow – the perfect place for you to grow your career!
Duties & Responsibilities
In this role, you’ll design, build, and manage cutting-edge infrastructure and data pipelines, enabling advanced AI solutions that drive innovation. Expertise in AWS technologies is critical, as our development environment is deeply rooted in AWS cloud services. If you’re ready to make a meaningful impact and push the boundaries of innovation at scale, we invite you to apply today.
Responsibilities:
- Develop and maintain robust, scalable, and efficient data architectures to support AI/ML product development.
- Define and enforce best practices for data pipelines, storage, and retrieval to enable seamless AI/ML workflows.
- Design, build, and maintain highly scalable and fault-tolerant ETL/ELT pipelines to process large volumes of structured and unstructured data.
- Ensure data availability, quality, and reliability to support analytics and AI/ML model performance.
- Architect, implement, and optimize cloud-based data solutions using AWS services such as S3, Glue, Redshift, Lambda, EMR, Athena, Kinesis, and DynamoDB.
- Utilize infrastructure-as-code (IaC) tools like AWS CloudFormation or Terraform to automate deployments and manage cloud resources efficiently.
- Partner with stakeholders to define data requirements and align them with business objectives.
- Implement and manage data governance policies to ensure compliance with relevant regulations and internal standards.
- Leverage AWS security features (e.g., IAM, KMS, VPC) to safeguard sensitive data.
Skills & Experience
- Minimum of 3 years of hands-on experience in data engineering, with a proven track record in designing and implementing data pipelines and cloud-based solutions.
- Advanced expertise in the AWS ecosystem, including services such as S3, Glue, Redshift, Athena, EMR, Lambda, and DynamoDB.
- Proficiency in programming languages like Python, Scala, or Java.
- Solid experience with SQL and NoSQL databases.
- Strong knowledge of CI/CD pipelines and version control systems (e.g., Git).
- Excellent problem-solving and analytical skills.
- Effective communication skills, with the ability to translate technical concepts for non-technical stakeholders.
- AWS certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect.
- Experience collaborating with AI/ML teams and deploying AI-driven applications.
- Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes).
- Knowledge of big data tools such as Hive, Presto, or Hadoop.
Recognition & Reward
- Unlock Your Growth Potential: Benefit from unparalleled support for your professional development with Certis Corporate University, the first of its kind in Asia.
- Empower Change: Make a lasting impact through innovative initiatives that transform local communities and global industries.
- Join a Culture of Innovation: Be a part of our team of innovators, working together to drive technological advancements towards a Safer, Smarter, And Better tomorrow for all.