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- Develop and maintain robust ETL (Extract, Transform, Load) processes to ingest and prepare data for analysis.
- Design and implement databases ,data storage solutions, including data warehouses and data lakes.
- Collaborate with cross-functional teams to understand data requirements and provide data solutions.
- Optimize and tune database systems for performance and scalability, considering both structured an unstructured data needs.
- Monitor data pipelines for reliability and troubleshoot issues as they arise.
- Implement data security and privacy measures to protect sensitive information.
- Stay up-to-date with industry best practices and emerging technologies in data engineering.
- Bachelor's or higher degree in Computer Science, Data Engineering, or a related field.
- Proven experience as a Data Engineer or similar role, minimum 3-5 years.
- Experience in scaling technologies.
- Understands ML/AI lifecycle. Knowledge in ML Ops is a plus.
- Proficiency in programming languages such as Python, or Scala.
- Strong SQL and database management skills.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
- Knowledge of data modelling and data architecture is a plus.
- Excellent problem-solving and communication skills.
- Work alongside & learn from best in class talent
- Great work environment
- Opportunity to make a positive impact
Data Engineer - Kuala Lumpur, Malaysia - Mandrill Tech
Description
Established in Kuala Lumpur since 2015, Mandrill Tech is a fast growing technology company. It serves many clients from various lines of industry.
Being an MSC certified company, Mandrill Tech is recognized as leaders in ICT industry development in Malaysia. It reflects our commitment to be the frontliner of technology innovation and advancements.
The Role
You will be responsible for :
Ideal Profile
What's on Offer?