Senior Data Engineer, Big Data Privacy and Security
Apply NowCompany: TikTok
Location: San Jose, CA 95123
Description:
Responsibilities
The team are missioned to ensure the safety of company-level big data products and compliance with local principals and regulations. We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack. It's an emerging area where many companies and industry are heavily investing. Your work will impact billions of users and bring "data for good" social values.
Responsibilities:
Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements.
Participate in the privacy compliance governance of large-scale, complex data warehouse.
Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)
Establish solid design and best engineering practices.
Qualifications
Minimum Qualifications:
Proficient in data warehouse implementation methodology, experienced in working on data warehouse systems.
Experience with Big Data technologies(Hadoop, M/R, Hive, Spark, Presto, Flink, Kafka, ClickHouse etc)
Experience in performing data analysis, data ingestion and data integration
Solid communication and teamwork contribute to multi-functional teams.
Preferred Qualifications:
BS or MS degree in Computer Science, Data Science or related technical field with 3 years of working experience.
The team are missioned to ensure the safety of company-level big data products and compliance with local principals and regulations. We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack. It's an emerging area where many companies and industry are heavily investing. Your work will impact billions of users and bring "data for good" social values.
Responsibilities:
Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements.
Participate in the privacy compliance governance of large-scale, complex data warehouse.
Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)
Establish solid design and best engineering practices.
Qualifications
Minimum Qualifications:
Proficient in data warehouse implementation methodology, experienced in working on data warehouse systems.
Experience with Big Data technologies(Hadoop, M/R, Hive, Spark, Presto, Flink, Kafka, ClickHouse etc)
Experience in performing data analysis, data ingestion and data integration
Solid communication and teamwork contribute to multi-functional teams.
Preferred Qualifications:
BS or MS degree in Computer Science, Data Science or related technical field with 3 years of working experience.