Deskripsi Pekerjaan
Are you a skilled Data Engineer with a passion for building robust data solutions that drive business intelligence? Clarks, a globally recognized brand, is seeking a talented and motivated Data Engineer to join our innovative technology team in Kuala Lumpur, Malaysia. While our heritage is in footwear, our future is powered by data, and we are heavily investing in our digital capabilities.
As a Data Engineer at Clarks, you will be instrumental in designing, building, and optimizing our data pipelines and data warehousing solutions. You will work with diverse datasets, transforming raw information into actionable insights that support strategic decision-making across the organization. This is a fantastic opportunity to make a significant impact, working with cutting-edge technologies in a dynamic and supportive environment. If you thrive on challenges, love clean data, and are eager to contribute to a company that values innovation, we encourage you to apply!
Join us in Kuala Lumpur and help shape the future of data at Clarks, ensuring our analytics infrastructure is scalable, reliable, and efficient. We are looking for someone who is not just technically proficient but also a proactive problem-solver with a strong commitment to data quality and governance. Your expertise will directly influence how Clarks understands its customers, optimizes operations, and innovates its product offerings.
Tanggung Jawab
- Design, develop, and maintain scalable and efficient ETL/ELT pipelines using various data integration tools and programming languages (e.g., Python, SQL).
- Build and optimize data warehousing solutions, ensuring data quality, reliability, and accessibility for analytics and reporting.
- Collaborate with Data Scientists, Business Analysts, and other stakeholders to understand data requirements and deliver effective data solutions.
- Implement and enforce data governance, security, and privacy best practices across all data assets.
- Monitor data systems, troubleshoot issues, and ensure optimal performance and uptime of data infrastructure.
- Evaluate and integrate new data technologies and tools to enhance our data platform capabilities.
- Develop and maintain comprehensive documentation for data pipelines, models, and systems.
Kualifikasi
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related quantitative field.
- Proven 3+ years of experience as a Data Engineer or in a similar role focusing on data pipeline development and data warehousing.
- Strong proficiency in SQL and Python for data manipulation, scripting, and automation.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) and their respective data services (e.g., S3, Data Factory, BigQuery, Redshift, Snowflake).
- Familiarity with data warehousing concepts, dimensional modeling, and ETL methodologies.
- Knowledge of big data technologies like Apache Spark, Kafka, or Hadoop ecosystem is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.