Posted on: 22/09/2025
Responsibilities :
- Design, build, and maintain scalable data platforms and pipelines to support the needs of the business.
- Ensure data quality and accuracy by implementing data validation and testing processes.
- Participate in code reviews and provide feedback to improve code quality and adherence to best practices.
- Work closely with DevOps to ensure that data solutions are deployed and operated effectively.
- Stay up-to-date with emerging technologies and best practices in data engineering and recommend improvements to the data platform.
- Develop and maintain a data engineering roadmap, ensuring that the team is aligned with the company's overall goals and objectives.
- Lead and manage a team of data engineers, providing guidance, mentorship, and support.
- Collaborate with data scientists and analysts to understand their data needs and develop data solutions that meet those needs.
Requirements :
- At least 5+ years of experience in data engineering, with a strong focus on large-scale data platforms and data products.
- Strong experience with big data technologies such as Hadoop, Spark, and Hive.
- Proficiency in either Scala or Java programming language.
- Experience leading and managing teams of data engineers.
- Excellent problem-solving skills, with the ability to think creatively and develop innovative solutions.
- Strong communication and interpersonal skills, with the ability to work effectively with a diverse range of stakeholders.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1550156
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