Senior Data Engineer, Ads Data

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity;

to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together.

That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. TikTok's immersive experience, global presence, and high engagement makes it the ideal marketing destination for business, big and small, to showcase their unique brand identity, connect with their consumers, and build strong lasting relationships over time.

The Ads Data Team builds and manages the petabyte scale data infrastructure, batch / realtime pipelines and services to support Tiktok's global Ads business.

We are committed to building a robust data foundation and scalable data applications, unblocking the full potential of advertising data to optimize advertiser experience, boost business growth, empower strategy execution.

We are looking for passionate Data Engineers that have strong problem solving skills to join forces with talented cross functional partners (business operation, data science, engineering and product management) to solve some of the most interesting data challenges with efficiency and quality.

In this role, you will contribute to the company's core business across innovative advertising products, campaign management and measurement solutions.

You will see a direct impact from your day-to-day work to customer satisfaction and company growth. Responsibilities : 1.

Work closely with Product Managers, Data Scientists / Analysts, and Software / Machine Learning Engineers and other stakeholders to understand data requirements and deliver data solutions that meet business needs.

2. Evaluate, implement and maintain data infrastructure tools and technologies to support efficient data processing, storage and query.

3. Design, build and optimize scalable data pipelines to ingest, process and transform large volumes of data.4. Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.

5. Ensure the data integrity, accuracy and consistency of data by implementing data quality checks, validation processes and monitoring mechanisms.

6. Continously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability.

7. Provide rapid response to SLA oncall support to business critical data pipelines. 8. Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.

Qualifications : 1. Bachelor's degree in Computer Science, Engineering, or a related field.2. Proven 1 3 years' experience as a Data Engineer or similar role in supporting data-centric business.

3. Strong knowledge of SQL and experience working with relational and non-relational databases.4. Proficiency in programming languages such as Python, Java, Go etc.

5. Solid understanding of data modeling and data warehousing concepts, data integration and ETL / ELT techniques. 6. Effective communication skills and ability to collaborate effectively with cross-functional teams.

7. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment. Preferred Qualifications : 1.

Experience with big data technologies(. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data.

2. Experience with cloud data warehouses(eg. Snowflake, Databricks, BigQuery) and modern business intelligence / data stack.

3. Experience with data governance, data privacy and compliance.4. Experience in the advertising, e-commerce or gaming industry.