TikTok
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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. Ability to analyze and visualize data to provide business stakeholders with impactful, actionable insights. Establish solid design and engineering best 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 working with data analytics and data engineering, including experience with data cleaning and preprocessing, data ingestion and ETL (Extraction, Transformation & Loading), data analysis and dashboard development. 1+ years experience building dashboards in Tableau, Power BI or any similar visualization tool. 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. Ability to communicate effectively, both written and verbal, with technical and non-technical partners. Ability to deliver consistent high quality results while working in a fast-paced environment. Passionate, curious, and seeking to tackle every day problems with innovation. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support. About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Statement This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA Job Information
Compensation: The base salary range for this position in the selected city is $118,658 - $259,200 annually. Compensation may vary outside of this range depending on factors including qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that may include discretionary bonuses/incentives and restricted stock units. Benefits may vary by location. Employees have day one access to medical, dental, and vision insurance, a 401(k) plan with company match, paid parental leave, disability and life insurance, wellbeing benefits, and other programs. Paid holidays, sick days, and personal time off are offered and prorated on hire with tenure-based accruals. The Company reserves the right to modify benefits at any time. Seniority level : Associate Employment type : Full-time Job function : Information Technology Industries : Technology, Information and Internet
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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. Ability to analyze and visualize data to provide business stakeholders with impactful, actionable insights. Establish solid design and engineering best 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 working with data analytics and data engineering, including experience with data cleaning and preprocessing, data ingestion and ETL (Extraction, Transformation & Loading), data analysis and dashboard development. 1+ years experience building dashboards in Tableau, Power BI or any similar visualization tool. 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. Ability to communicate effectively, both written and verbal, with technical and non-technical partners. Ability to deliver consistent high quality results while working in a fast-paced environment. Passionate, curious, and seeking to tackle every day problems with innovation. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support. About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Statement This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA Job Information
Compensation: The base salary range for this position in the selected city is $118,658 - $259,200 annually. Compensation may vary outside of this range depending on factors including qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that may include discretionary bonuses/incentives and restricted stock units. Benefits may vary by location. Employees have day one access to medical, dental, and vision insurance, a 401(k) plan with company match, paid parental leave, disability and life insurance, wellbeing benefits, and other programs. Paid holidays, sick days, and personal time off are offered and prorated on hire with tenure-based accruals. The Company reserves the right to modify benefits at any time. Seniority level : Associate Employment type : Full-time Job function : Information Technology Industries : Technology, Information and Internet
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