Description
About TikTok U.S. Data Security
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.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
Join us.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Design and build data ETL pipelines efficiently and reliably based on different business initiatives to support business report, risk analysis, and multi-dimensional analysis.
Design and implement reliable, scalable, robust and extensible big data products to support core products and business.
Provide production support for scheduled ETL jobs and perform incident management to resolve any issues related to data and code defects.
Perform production releases and provide post-production support.
Recommend different ways to constantly improve data reliability and quality.
Work cross-functionally with development teams and business customers to address issues and emerging requirements in data products.
Participate in gathering evolving business requirements and functional requirements.
Mentor junior Data Engineers and interns.Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Designing and modeling data warehouse to support data analytics, reporting, and data applications;
Implementing data warehouse and ETL processes using Hive, Spark, Hadoop, or SQL Server to optimize the data processing performance;
Programming using SQL, Python, and Java;
Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues; and
Building data services or applications using data query engines HBase, Elastic Search, ClickHouse, or SQL Server, and optimizing the query performance.
Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location: Mountain View, CA
Salary Range: $170227 - $177000 per year
To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok 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 lpresumes@tiktokusds.com
#LI-DNI
#IND-DNI
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.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
Join us.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Design and build data ETL pipelines efficiently and reliably based on different business initiatives to support business report, risk analysis, and multi-dimensional analysis.
Design and implement reliable, scalable, robust and extensible big data products to support core products and business.
Provide production support for scheduled ETL jobs and perform incident management to resolve any issues related to data and code defects.
Perform production releases and provide post-production support.
Recommend different ways to constantly improve data reliability and quality.
Work cross-functionally with development teams and business customers to address issues and emerging requirements in data products.
Participate in gathering evolving business requirements and functional requirements.
Mentor junior Data Engineers and interns.Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Designing and modeling data warehouse to support data analytics, reporting, and data applications;
Implementing data warehouse and ETL processes using Hive, Spark, Hadoop, or SQL Server to optimize the data processing performance;
Programming using SQL, Python, and Java;
Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues; and
Building data services or applications using data query engines HBase, Elastic Search, ClickHouse, or SQL Server, and optimizing the query performance.
Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location: Mountain View, CA
Salary Range: $170227 - $177000 per year
To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok 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 lpresumes@tiktokusds.com
#LI-DNI
#IND-DNI
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