Data Architect

About Anchanto:

Anchanto helps all businesses to exploit the full potential of e-commerce. Our suite of SaaS Products enables companies globally to springboard omnichannel sales, scale fulfilment operations, and use intelligent data to grow their e-commerce, logistics & warehousing activities. Leading, brands, distributors, retailers, and logistic enterprises such as L'Oréal, Decathlon, or DHL Supply Chain rely on our technology to scale their local and global e-commerce operations.

Headquartered in Singapore and with more than 10 local offices across Asia-Pacific, the Middle East and Europe, we are growing rapidly and looking for ambitious people to join our teams to build the future successes of Anchanto.

At Anchanto, we know that the one of the keys to growth is a high-performing Engineering team. We are looking for a strong Data and ML Engineering Lead to l data collection efforts to build our new set of products.

As a lead for Anchanto’s data product, your day-to-day tasks will involve driving data engineering efforts – design and implement data collection workflows, ensure that junior members of the data collection team are adopting development best practices and conduct regular reviews of current data collection workflows.

 Responsibilities:

• Propose and establish technical designs to meet business and technical requirements.
• Develop and maintain data engineering and ML solutions based on requirements and design specifications using appropriate tools and technologies.
• Create and optimize data pipelines / ETL pipelines for performance.
• Coach and manage junior Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.
• Work with business and product teams to understand requirements and translate them into technical needs.
• Leverage existing or create new standard data pipelines to bring value through business use cases.
• Develop automated tests for CI/CD pipelines.
• Gather and organize large and complex data assets, and perform relevant analysis.
• Conduct peer reviews for quality, consistency, and rigor for production-level solutions.
• Build and maintain stable, scalable and robust architecture for efficient data collection and processing
• Develop applications to enable scaling of data collection across multiple platforms
• Conduct technical interviews during the recruitment process

What You Need/ You have a track record of:

• 6+ years of experience in data engineering, integration of which at least 3 years of professional hands on development experience in Python and building robust data collectors
• Prior hands-on experience in designing, implementing and deploying of data collection systems using Docker and AWS Cloud Services e.g. Apache Airflow, Containerization, Data Lake
• Prior experience with improving processes and standards for product development
• Prior experience in building data collectors capable of bypassing anti-bot detection mechanisms
• Knowledge of eCommerce marketplaces would be preferred
• Well-organized and must be able to understand big picture
• Strong team player with ability to handle multiple products
• Self-motivated, results-driven individual, passionate about technology

Personal Attributes: 

• Communication: Clear written and verbal communication.
• Proactive Mindset: Proactively plan work. Avoid roadblocks.
• Ownership: Passion for continuous learning.
• Critical Thinker: Strong critical thinking skills.
• Problem Solver: Problem-solving orientation.