Lead Data Engineer

Hiring Position : Lead Data Engineer Working Condition : On-Site Location : Bangkok, Thailand (BTS Accessible) Pay Rate : THB 100000 to THB 150000 __________________________________________________________________________ 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