Lead Data Warehouse Engineer

4 weeks ago

Singapur, Singapore TikTok Full time

Team Introduction

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you - Leadership & Strategy: Lead the Data Warehouse team with a focus on designing and managing our data warehouse infrastructure. Develop and implement strategic plans to enhance data storage, processing, and retrieval systems.- Technical Management: Oversee the development and optimization of data modeling, ETL processes, and real-time data integration. Ensure data warehouse solutions meet the organization’s needs and industry standards.- Data Product Oversight: Manage the creation and maintenance of data products, ensuring they provide valuable insights and support decision-making processes. Collaborate with business units to understand requirements and translate them into effective data solutions.- System Implementation & Enhancement: Drive the rollout, upgrade, and implementation of data systems. Apply best practices to streamline internal processes and improve data management efficiency.- Analytics & Reporting: Lead efforts in developing analytics applications and visualization tools. Utilize data-oriented programming languages and software to transform raw data into actionable insights and dynamic reports.Innovation: Explore and implement advanced data techniques, including data mining, machine learning, and natural language processing, to enhance data capabilities and derive meaningful insights from both structured and unstructured datasets.- Team Development: Mentor and guide team members, fostering a collaborative and innovative environment. Support professional growth and ensure high performance within the team.- Direct Engagement: Being deeply involved in technical implementations and responsible for building batch and real-time data warehouse

Minimum Requirements- Proficient in creating and maintaining complex ETL pipeline end-to-end while maintaining high reliability and security Preferred Requirements- Minimum 5 years in data engineering experience- 5 years experience with data warehouse concept and have production experience in modeling design- 5 years experience with 1 distributed computing engine (. Hive, Spark, Flink)

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