Founded in 1850, Lane Crawford is an iconic, luxury department store offering a seamless shopping experience in stores and online.
As the most talked-about lifestyle destination in Asia, Lane Crawford presents a unique global edit of more than 800 coveted international brands across Womenswear, Menswear, Shoes and Accessories, Cosmetics, Fine Jewellery and Home and Lifestyle. LaneCrawford.com and each store is an inspiring space to spend time and be immersed in the world of fashion, art, design and culture.
Providing market leading services, Lane Crawford offers an unparalleled luxury lifestyle experience. Across creative programmes and award-winning visual merchandising, every customer experience is unique, including personalised services such as Concierge, Personal Styling, Cosmetics Concierge, and online order collection and returns in store.
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Key Accountabilities:

• Migrate data pipelines from Informatica to Databricks, ensuring seamless integration and efficient data processing.
• Design, develop, and optimize data processing workflows using SQL, PL/SQL, or python.
• Implement and enforce data governance and security measures to protect sensitive data and ensure compliance.
• Establish and maintain data lineage documentation to track the origin, transformations, and destinations of data.
• Collaborate with cross-functional teams to identify data requirements and implement optimal solutions.
• Monitor and troubleshoot data pipelines to ensure smooth and uninterrupted data flow.
• Conduct testing and validation of data pipelines to ensure accuracy, completeness, and data quality.
• Optimize data storage, retrieval, and archival processes in collaboration with database administrators and infrastructure teams.
• Stay updated with industry trends and advancements in data engineering, big data technologies, and cloud computing.

Company Culture & Values:

• To fully engage and live by the Lane Crawford Vision, Passion, Learning and Collaboration (PLC) Values, Leadership Code and deliver our Customer Service Promise at all times
• To build collaborative working relationships with your colleagues to ensure the achievement of the Company Business Plan, your department and individual objectives
• To reinforce Lane Crawford Heritage, Brand DNA and culture - through storytelling and sharing successes at every opportunity

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in migrating data pipelines from Informatica to Databricks.
• Strong proficiency in Oracle 12c, ADW, MSSQL, and MYSQL.
• Proficient in programming languages such as Python, Scala, or SQL for data processing and transformation.
• Solid understanding of data governance and security principles.
• Experience in maintaining data lineage documentation.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to adapt to changing priorities and work effectively in a fast-paced environment.

At Lane Crawford we support our staffs with a range of benefits that reflect the importance we place on the well being of our staff. In addition to a competitive salary, discretionary bonus, annual leave, provident fund, staff purchase privileges and medical and dental coverage, we provide shuttle buses, various recreational activities, Staff Assistance Programme and the best in-class Training and Development.

All applications and data collected will be treated in strict confidence and used exclusively for recruitment purposes.