Data Engineer (Senior Level)

Bangkok BTS Group

Bangkok BTS Group (Chatuchak)

กรุงเทพ, ประเทศไทย

BTS Group Holdings PCL (BTSG) is a privately owned, multi-industry conglomerate that operates across 3 business platforms; MOVE, MIX and MATCH. Listed on the Stock Exchange of Thailand (SET), BTSG is a constituent member of the SET50 “Bluechip” index, MSCI Asia Pacific Index, FTSE4Good Index and Dow Jones Sustainability Index and among the largest company in Thailand.

คลิกเพื่อดูงานที่คล้านกันในประเทศ ประเทศไทย:

ฝ่าย: การพัฒนาซอฟต์แวร์และวิศวกรรม

อุตสาหกรรม: โลจิสติกส์และคลังสินค้า การขนส่งสินค้าและการขนส่ง

เกี่ยวกับตำแหน่งนี้

The Senior Data Engineer will leverage and integrate data sources to align with strategic objectives, ensuring timely delivery of solutions that meet business requirements.

หน้าที่รับผิดชอบ

• Leverage and integrate data sources and Data Mart tables across business units to align with strategic objectives, ensuring solutions meet business requirements and are delivered on time.
• Design, develop, and optimize complex data models, pipelines, and transformations to provide high-impact insights for stakeholders.
• Lead the development and refinement of ETL processes, ensuring robust data integration, transformation, and management.
• Create, optimize, and maintain report/dashboard data models to enhance decision-making capabilities within the organization.
• Continuously improve the performance, accuracy, and timeliness of data solutions, ensuring their reliability.
• Adapt and evolve data solutions to meet changing business needs, ensuring they remain relevant and effective.
• Implement cutting-edge tools and techniques to optimize data products and processes.
• Collaborate with data analysts, business analysts, and project managers to support business units and meet project deadlines.

คุณสมบัติ

• Bachelor’s degree in Data and Technology, Computer Science, or any related field.
• At least 3 years of experience in data engineering, data pipeline development, and data warehouse management.
• High expertise in data preparation, SQL Query, Python, PySpark, ETL tools, and AWS cloud services.
• Strong understanding and hands-on experience in designing data models, data processing, data transformation solutions, data management, and fine-tuning data models and data pipelines.
• Able to communicate in English is a plus.