2 days ago

Senior Data Engineer (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and build data warehouse architectures, ETL pipelines, and metrics systems to meet daily business data needs. Work with business scenarios to implement pragmatic data solutions such as data ecosystem development and automated attribution tools. Partner with data engineers, analysts, product managers, and global business teams to align data initiatives with business goals, improve data discovery and adoption, and explore technologies like LLMs. Mentor junior and intern data engineers.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design data warehouse architectures, develop ETL pipelines, and build metrics systems for daily business data requirements.
•Design and implement pragmatic data solutions for business scenarios, including data ecosystem development and automated attribution tools.
•Collaborate with data analysts and product managers to fulfill data-related requirements.
•Implement user-centric data solutions aligned with operational objectives, partnering with data engineers to optimize data discovery and adoption.
•Explore cutting-edge technologies (e.g., LLMs) and mentor junior and intern data engineers.

Pay and Benefits

Salary: USD 212,800 - 387,600 annually

Key Requirements

•Master’s degree (or foreign equivalent) in a relevant field with 2 years of related work experience; OR a Bachelor’s degree (or foreign equivalent) with 5 years of post-bachelor’s progressive related experience.
•2 years of experience utilizing big data technology stacks, including Spark or Flink.
•2 years of experience implementing data warehouse methodologies and technologies, including data modeling, data governance, and ETL processes.
•2 years of experience programming using SQL, Python and/or Java.
•Experience delivering end-to-end data solutions from design through implementation in the data domain area, including developing business abstraction and architectural design.

Experience:2-5 yearsBig dataData warehousingETLData governance

Education:Master's in Computer Science; Engineering (any); Information Technology; Data Science; Economics; Business Analytics; Statistics; Mathematics; or related field

Skills:CollaborationMentorshipProblem-solvingCross-team communicationData domain expertise

Tech Stack:SparkFlinkSQLPythonJavaData warehouseETLData modelingData governanceLLMs

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

Senior Data Engineer (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design data warehouse architectures, develop ETL pipelines, and build metrics systems for daily business data requirements.
•Design and implement pragmatic data solutions for business scenarios, including data ecosystem development and automated attribution tools.
•Collaborate with data analysts and product managers to fulfill data-related requirements.
•Implement user-centric data solutions aligned with operational objectives, partnering with data engineers to optimize data discovery and adoption.
•Explore cutting-edge technologies (e.g., LLMs) and mentor junior and intern data engineers.

Pay and Benefits

Salary: USD 212,800 - 387,600 annually

Key Requirements

•Master’s degree (or foreign equivalent) in a relevant field with 2 years of related work experience; OR a Bachelor’s degree (or foreign equivalent) with 5 years of post-bachelor’s progressive related experience.
•2 years of experience utilizing big data technology stacks, including Spark or Flink.
•2 years of experience implementing data warehouse methodologies and technologies, including data modeling, data governance, and ETL processes.
•2 years of experience programming using SQL, Python and/or Java.
•Experience delivering end-to-end data solutions from design through implementation in the data domain area, including developing business abstraction and architectural design.

Experience:2-5 yearsBig dataData warehousingETLData governance

Education:Master's in Computer Science; Engineering (any); Information Technology; Data Science; Economics; Business Analytics; Statistics; Mathematics; or related field

Skills:CollaborationMentorshipProblem-solvingCross-team communicationData domain expertise

Tech Stack:SparkFlinkSQLPythonJavaData warehouseETLData modelingData governanceLLMs

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn