Job Overview and Responsibilities

Location: District 1, HCM City

We are a startup that digitalizes the pharmaceutical industry in emerging markets and helps pharmaceutical companies leverage data to grow their sales. We recently raised a US$10.3M Series-A with Alven, Picus Capital and Febe Ventures and are looking for self-motivated and talented people to take our brand and customers to the next level.

Mission:

We are looking for a Lead Data Engineering & BI Solutions to manage a lean engineering team and help us take our data systems to the next level. You will be in charge of managing our Cloud data architecture, optimizing our data ingestion related processes, techniques and analytics models, managing BI tools to provide insight to our customers. You will develop data pipelines and provide insights for our internal stakeholders across Sales, Customer Success, Product, Data Implementation, Data Operations, Marketing and Finance.

Your ultimate goal will be to help improve our products and business decisions by making the most out of our data, and streamline the on-boarding of our B2B customers through the automation of the data ingestion processes.

You’ll need a strong technical foundation in data engineering and the ability to make good choices around technology while keeping concrete business impact and long-term implications in mind.

The main tools we use are Python, Docker, Kubernetes, GCP/AWS, Git, Snowflake and several BI tools (PowerBI, Logi Analytics). We’re excited about the tech stack we’ve built and would like to find someone experienced in these or similar technologies.

If you’re a data systems expert who wants to stay close to the code while having a major impact, have a strong problem-solving ability and a knack for statistical analysis, and are ready for a challenge we can't wait to meet you!

Responsibilities:

• Manage and provide technical mentorship to a lean team of Data engineers, BI developers and analysts
• Responsible for the coordination, timely delivery, communication for a small team
• Provide senior-level technical consulting to other engineers during design and development for highly complex and critical data projects
• Assist in the design, development, documentation and maintenance of database and reporting structures used to compile insights
• Build unified data tech to support advanced and automated business analytics
• Define, develop and review ETL processes and data modeling solutions
• Streamline and automate data ingestion processes to efficiently on-board new customers
• Consistently evolve data processes and techniques in accordance with industry best practices
• Contribute to the ongoing improvement of quality assurance standards and procedures

Key Requirements

• 3+ years in a technical leadership position
• 6+ years with Cloud-based big data storage technologies (Snowflake, Amazon Redshift)
• Bachelor’s degree in Computer Science or related field or equivalent experience
• Understanding of advanced data warehousing concepts and track record of applying these concepts on the job
• Advanced SQL and NoSQL skills, including an understanding of query performance
• Strong understanding of Python for data engineering, including a good grasp of performance and architecture that is scalable from a resource and organizational perspective
• Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
• Excellent interpersonal skills, with the ability to communicate complex data issues correctly and clearly to both internal and external customers
• Experience with open-source data pipeline frameworks such as: Airflow, Luigi, etc.
• Experience with GCP and/or other cloud services
• Experience with Snowflake data warehousing or similar next-gen data warehousing technology
• Experience with a version control system such as Git
• Experience with presenting actionable insights to business stakeholders

Why You Should Apply This Position

• Funny, diverse, and dynamic community​
• Contribute to an exciting and fast-moving industry
• SaaS & Data is the future of Pharma & Healthcare
• Because SaaS and Pharma are hot spots and great experiences for you.
• Because you want to work in a global environment with the potential for an international career, supported by an experienced leadership team.
• Because you have ambitions and are not afraid of taking more responsibilities.
• Because you want to see the impact your job has on your team & company.