TikTok
Responsibilities
Design, implement and maintain reliable, scalable, robust and extensible big data systems that support core products and business. Design, build, and maintain data pipelines utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources to ensure data is easily accessible and can be used effectively by other members of the organization. Extract data from various sources such as APIs, HIVE tables and other structured and unstructured data sources to process and store large volumes of data ensuring data accuracy, consistency, and security. Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency. Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way. Analyze and visualize data to provide business stakeholders with impactful, actionable insights. Establish solid design and best engineering practices for engineers as well as non-technical people. Qualifications
Minimum Qualifications
Bachelors degree in Statistics, Computer Science or a related technical field involving software or systems engineering, or equivalent practical experience. 1+ years of experience with data analytics and data engineering, including data cleaning and preprocessing, data ingestion and ETL, data analysis and dashboard development. 1+ years of experience building dashboards in Tableau, Power BI or similar visualization tools.
Preferred Qualifications
Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Python, Hadoop/HDFS/AWS/S3 and Kafka. Proficiency in data modeling, data design, SQL and databases. 3+ years of experience with Big Data technologies (Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.). Strong background in algorithms and data structures. Experience working with PII and GDPR data. Effective communication with technical and non-technical partners; ability to deliver high-quality results in a fast-paced environment. Passionate, curious, and driven to tackle problems with innovation.
As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. The company does not provide sponsorship or immigration-related benefits. About USDS
TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is a TikTok subsidiary in the U.S. dedicated to data protection and content assurance for U.S. users. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions. Data Security Statement: This role requires working with systems that protect sensitive data and will be subject to national security-related screening. Why Join Us
We aim to inspire creativity and bring joy through a diverse, collaborative, and fast-moving environment. We value curiosity, humility, and impact, with an emphasis on learning and innovation as one team. USDS Reasonable Accommodation
USDS provides reasonable accommodations in recruitment for candidates with disabilities or other protected reasons. If you need assistance, please reach out to us at the provided contact.
#J-18808-Ljbffr
Design, implement and maintain reliable, scalable, robust and extensible big data systems that support core products and business. Design, build, and maintain data pipelines utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources to ensure data is easily accessible and can be used effectively by other members of the organization. Extract data from various sources such as APIs, HIVE tables and other structured and unstructured data sources to process and store large volumes of data ensuring data accuracy, consistency, and security. Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency. Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way. Analyze and visualize data to provide business stakeholders with impactful, actionable insights. Establish solid design and best engineering practices for engineers as well as non-technical people. Qualifications
Minimum Qualifications
Bachelors degree in Statistics, Computer Science or a related technical field involving software or systems engineering, or equivalent practical experience. 1+ years of experience with data analytics and data engineering, including data cleaning and preprocessing, data ingestion and ETL, data analysis and dashboard development. 1+ years of experience building dashboards in Tableau, Power BI or similar visualization tools.
Preferred Qualifications
Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Python, Hadoop/HDFS/AWS/S3 and Kafka. Proficiency in data modeling, data design, SQL and databases. 3+ years of experience with Big Data technologies (Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.). Strong background in algorithms and data structures. Experience working with PII and GDPR data. Effective communication with technical and non-technical partners; ability to deliver high-quality results in a fast-paced environment. Passionate, curious, and driven to tackle problems with innovation.
As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. The company does not provide sponsorship or immigration-related benefits. About USDS
TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is a TikTok subsidiary in the U.S. dedicated to data protection and content assurance for U.S. users. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions. Data Security Statement: This role requires working with systems that protect sensitive data and will be subject to national security-related screening. Why Join Us
We aim to inspire creativity and bring joy through a diverse, collaborative, and fast-moving environment. We value curiosity, humility, and impact, with an emphasis on learning and innovation as one team. USDS Reasonable Accommodation
USDS provides reasonable accommodations in recruitment for candidates with disabilities or other protected reasons. If you need assistance, please reach out to us at the provided contact.
#J-18808-Ljbffr