Data Engineer for Scalable Systems

2 days ago

Singapore beBeeDataEngineer Full time $180,000 - $200,000

About us

TikTok is a leading short-form mobile video platform. Our mission is to inspire creativity and bring joy to our users.

Why Work with Us?

Inspiring creativity is at the core of our mission. We build innovative products that help people authentically express themselves, discover, and connect. Our global and diverse teams make this possible.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.

By constantly iterating and fostering an 'Always Day 1' mindset, we achieve meaningful breakthroughs for ourselves, our organization, and our users. When we create and grow together, the possibilities are limitless.

Diversity & Inclusion

We're committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace.

To achieve our goal of inspiring creativity and bringing joy, we celebrate our diverse voices and create an environment that reflects the many communities we reach.

Job Highlights

Positive team atmosphere

Career growth opportunities

Flat organization structure

Competitive compensation package

Responsibilities
  • Collaborate with Product Managers, Data Scientists/Analysts, and Software/Machine Learning Engineers to understand data requirements and deliver data solutions that meet business needs.
  • Evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and query.
  • Design, build, and optimize scalable data pipelines to ingest, process, and transform large volumes of data.
  • Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.
  • Ensure the integrity, accuracy, and consistency of data by implementing data quality checks, validation processes, and monitoring mechanisms.
  • Continuously optimize data pipelines, queries, and processes to improve performance, reduce latency, and enhance scalability.
  • Provide rapid response to SLA on-call support to business-critical data pipelines.
  • Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.
Requirements

Bachelor's degree or higher in Computer Science

Minimum 4 years of experience in building data systems from 0 to 1

Proficiency in programming languages such as Python and Java

Solid understanding of data modeling and data warehousing concepts, data integration, and ETL techniques

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