Big Data Engineer - Data Platform, Global E-Commerce

TikTok; Singapore; Sur place; SGD 100 000 - 150 000; Plein temps

Résumé du poste

TikTok Singapore is seeking a data engineer to translate business requirements into scalable data architectures and to build batch and real-time data pipelines.

You will work with data warehousing, ETL, and analytics to deliver actionable insights for the business, collaborating across product, data, and engineering teams. The role emphasizes data quality, security, and production-grade pipelines, with opportunities to apply NLP and ML techniques to extract insights from large datasets.

Qualifications

• At least 3 years of experience in software engineering and 2 years of relevant experience in data engineering.
• Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security.
• Familiar with data warehouse concepts and have production experience in modeling design.
• Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink).
• Familiar with at least 1 NoSQL database is a plus (e.g. HBase).
• Excellent interpersonal and communication skills with the ability to engage and manage internal and external stakeholders across all levels of seniority.
• Strong collaboration skills with the ability to build rapport across teams and stakeholders.

Responsabilités

• Translate business requirements and end-to-end designs into technical implementations and responsible for building batch and real-time data warehouse.
• Manage data modeling design, writing, and optimizing ETL jobs.
• Collaborate with the business team to build data metrics based on data warehouse.
• Responsible for building and maintaining data products.
• Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Connaissances

Software engineering

Data engineering

ETL pipelines

Data modeling

Stakeholder management

Communication

Collaboration

Outils

Hive

Spark

Flink

HBase

Description du poste

Location:

Employment Type:

Regular

Job Code:

A47262A

Share this listing:

Responsibilities

• Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse.
• Manage data modeling design, writing, and optimizing ETL jobs.
• Collaborate with the business team to build data metrics based on data warehouse.
• Responsible for building and maintaining data products.
• Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

• Minimum Qualification(s):
• At least 3 years of experience in software engineering and 2 years of relevant experience in data engineering.
• Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security.
• Familiar with data warehouse concepts and have production experience in modeling design.
• Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink).
• Preferred Qualification(s):
• Familiar with at least 1 NoSQL database is a plus (e.g. HBase).
• Excellent interpersonal and communication skills with the ability to engage and manage internal and external stakeholders across all levels of seniority.
• Strong collaboration skills with the ability to build rapport across teams and stakeholders.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

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 company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is 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. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Ready for a career

at TikTok?

Discover a career that energizes and excites you every day.