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Senior Data Engineer

1 week ago

Singapore Certis Full time

Are you a talented and driven Data Engineer eager to shape the future of AI at Certis? We’re looking for a
Senior Data Engineer
to lead transformative initiatives. 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 we will trust you with:
Data Strategy & Architecture
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.
Collaboration with AI/ML Teams
Work closely with data scientists, machine learning engineers, and software developers to deploy AI models and applications effectively.
Partner with stakeholders to define data requirements and align them with business objectives.
Data Security & Compliance
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.
Your areas of knowledge and expertise that matter most for this role:
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.
Life at Certis
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Security and Investigations
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