Lead Data Engineer
Summary
Lead Data Engineer building big data and BI platforms (data warehouses, ETL pipelines, data lakes) for an HR tech company in Bangkok, using SQL, Python, GCP, Airflow, and BigQuery.
Hiring Position: Lead Data Engineer
Working Condition: On-Site
Location: Bangkok, Thailand (BTS Accessible)
Pay Rate: THB 100000 to THB 150000
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Our client is an HR tech company based in Bangkok, Thailand that has established itself as a major player in the global HR tech market. With the backing of Surge and Sequoia Capital, our client is well positioned to continue its rapid growth and innovation in the industry. Its cloud-based recruitment platform has been trusted by thousands of businesses in over 130 countries to streamline their hiring processes and find the best talent for their organizations.
With a focus on simplicity, efficiency, and customization, our client's platform is a powerful tool for businesses looking to optimize their hiring processes. The platform is designed to be user-friendly and intuitive, allowing businesses to tailor it to their specific needs and preferences. Its innovative technology has earned it a loyal customer base, and its commitment to user satisfaction has helped it build a reputation as a trusted partner for businesses seeking to streamline their recruitment processes.
As a testament to its growth, they are seeking a highly motivated Lead Data Engineer to join their team and help build their big data and business intelligence platforms. The ideal candidate will have a strong background in data-intensive systems, advanced SQL techniques, and cloud infrastructure
Key Responsibilities
- Build our big data and business intelligence platforms (Data Warehouse, ETL pipelines, Data Lake, etc.)
- Work with engineers and product owners to identify and build tools to automate many large-scale data management/analysis tasks
- Partner closely with product, engineering, marketing, and other business leaders to influence business and product decisions with data
- Work with business stakeholders to understand data requirements
Requirements
- Strong sense of ownership and growth mindset
- A minimum of 5 years of working experience with data-intensive systems.
- Deep understanding of advanced SQL techniques
- Experience implementing Data visualization tools such as Tableau or Looker.
- Experience building data warehouses (e.g., Big Query) and ETL pipelines (e.g. Airflow, Data Fusion)
- Experience with Python, software engineering fundamentals, and Cloud infrastructure (e.g., GCP)
- Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders