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Data Pipeline Specialist

3 weeks ago

Singapore beBeeDataEngineer Full time $90,000 - $120,000
Job Title: Data Engineer

The ideal candidate will design, build and maintain robust data pipelines to meet both immediate and long-term business needs. They will drive data engineering projects by leveraging internal and cross-functional resources, setting meaningful targets and achieving them with innovative approaches.

Key Responsibilities:

  • Design, build, and maintain data pipelines for ingesting, processing, and transforming large volumes of data
  • Define technical strategy and roadmap for data engineering projects in alignment with business objectives
  • Own and drive data engineering projects, setting challenging targets and achieving them with innovative approaches
Required Skills and Qualifications:

Our ideal candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or related field, along with 3+ years of experience in data engineering. They should be proficient in Python and SQL for data processing and automation, and have hands-on experience with big data frameworks such as Apache Spark, Hadoop, Kafka, or similar technologies.

They should also have strong knowledge of database and data warehousing concepts, including star schema, dimensional modeling, ETL/ELT frameworks, and schema design. Additionally, they should have experience using data visualization tools such as Tableau, Power BI, or internal platforms to support business insights.

Benefits:

TikTok offers a dynamic and inclusive work environment where employees are valued for their skills, experiences, and perspectives. We foster curiosity, humility, and impact, and operate with an 'Always Day 1' mindset to achieve meaningful breakthroughs.

We prioritize diversity and inclusion, and celebrate diverse voices and aim to reflect the communities we reach. We also recognize that keeping our platform safe can be demanding, which is why we share potential hazards and risks so candidates are well informed before joining.

Preferred Qualifications:

Experience with real-time data processing technologies such as Flink would be an asset, as well as strong communication and interpersonal skills for working with technical and non-technical stakeholders.