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Elekta
Sunnyvale, CA, United States
Are you a current Elekta employee? Please click here to apply through our internal career site Find Jobs - Elekta. Want to join a team with a mission to improve and save lives? We continually look for motivated and skilled individuals who are interested in supporting our customers - healthcare professionals who use our products to help patients
Job Source: ElektaAdobe
San Jose, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeInterSources
Foster City, CA, United States
Job Title: Lead Data Engineer job Location: Foster City, CA Job Type: Fulltime Job Mode: Onsite Required Skills: Minimum 10 years experience in Data Engineering and Lead experience atleast 3-4 years. Experience with Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet), Kafka, Spark Streaming, PySpark, Airflow. Experience with progra
Job Source: InterSourcesSan Jose State University
San Jose, CA, United States
Lead Data Engineer Apply now (https://secure.dc4.pageuppeople.com/apply/873/gateway/default.aspx?c=apply&lJobID=539662&lJobSourceTypeID=837&sLanguage=en-us) Job no: 539662 Work type: Staff Location: San José Categories: Unit 9 - CSUEU - Technical Support Services, Probationary, Full Time, Information Systems & Technology Job Summary The Lead
Job Source: San Jose State UniversitySan Jose State University
San Jose, CA, United States
Job Summary The Lead Data Engineer is responsible for SJSU's Campus Data Warehousing/Business Intelligence implementation. This position will play a key role in the research, design, architecture, creation, development, implementation and maintenance of Campus Data Warehouse. This includes identifying and pulling data from 500+ individual databas
Job Source: San Jose State UniversityS&P Global
San Jose, CA, United States
About the Role: Grade Level (for internal use): 11 About the Role: The Team: The S&P Global Advanced Analytics & Automation: Data Engineering team combines automation, machine learning, and data engineering to improve the delivery of Ratings data & content to our analysts and customers. The team sits within the organizations Ratings Technology
Job Source: S&P GlobalGlobalLogic
San Jose, CA, United States
Description: The ability to apply such methods to solve business problems in combination with building data pipelines, data streams, and system integration. Develop and solidify client relationships through excellent communication, positive attitude, adaptability, and strong work ethic to become the trusted partner of clients. Support the planni
Job Source: GlobalLogicOmega Solutions
Santa Clara, CA, United States
Responsibilities: Design, develop, test, and deploy Data Engineering pipelines on Azure cloud platform. Provide technical leadership and guide the team. Analyze and profile the data to understand and resolve the data quality issues. Participate in design and code reviews and provide guidance. Create near real-time data pipelines and document t
Job Source: Omega SolutionsMountain View, CA, United States
Position Summary
Role and Responsibilities
Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We are seeking a highly skilled and experienced front-end staff engineer to join our dynamic team and help shape the future of the ad tech industry. We seek a talented Lead Data Engineer to play a pivotal role in enhancing our platform’s performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.
Responsibilities
Develop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion.
Collaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies.
Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.
Work closely with stakeholders to understand and translate business requirements into technical solutions.
Conduct A/B testing and performance analysis to validate and iterate on attribution models.
Stay updated on industry trends and emerging technologies related to attribution modeling and ad tech.
Skills and Qualifications
Qualifications
Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
Requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years
Proven experience in attribution modeling within the ad tech industry.
Strong programming skills in Python, Java, or Scala.
Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)
Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).
Hands-on experience with orchestration tools like Airflow or similar
Solid understanding of statistical concepts and experience with relevant tools.
Excellent problem-solving and communication skills.
Preferred Qualifications
Experience with machine learning techniques for attribution modeling.
Familiarity with real-time data processing and streaming technologies.
Knowledge of end-to-end digital advertising ecosystems and industry standards.
Knowledge of Snowflake and related technologies
California Only
Compensation for this role is expected to be between $200,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
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Email Alert for Lead Data Engineer jobs in Mountain View, CA, United States
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