3 дня назад
Data Engineer, DMP (AdTech)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Engineer, DMP (AdTech) (Big Data/Python): Building data pipelines that transform behavioral data from web, mobile, and connected TV platforms into audience segments and advertising solutions with an accent on large-scale data processing, DMP/DSP integrations, and predictive modeling. Focus on designing scalable data delivery systems, processing massive datasets with cloud and distributed technologies, and converting data into actionable campaign insights.
Location: Hybrid work at the Oakville, Canada location; candidates must be eligible to work in Canada.
Company
is a Canadian technology company and the home of The Weather Network, developing weather and advertising-related digital products.
What you will do
- Process behavioral data from web, mobile web, mobile apps, tablets, and connected TV platforms.
- Design and code data pipelines that generate audience segments and integrate with DMP and DSP systems.
- Work with BigQuery, Google Cloud Dataflow, Apache Spark, Apache Airflow, and hybrid cloud infrastructure.
- Evaluate database solutions and contribute to the architecture of data delivery systems.
- Create visualizations that make data accessible and actionable for advertising clients.
- Collaborate with data scientists, big data developers, product managers, and cross-functional teams to take products from concept to production.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
- Strong knowledge of SQL, MapReduce, and big data processing frameworks.
- Proven experience designing and coding data pipelines in Python.
- Understanding of statistical and predictive modeling, machine learning approaches, and data pattern identification.
- Experience with pandas, Jupyter, and TensorFlow.
- Eligibility to work in Canada and ability to work in a hybrid model at the Oakville location.
Nice to have
- Knowledge of Google Cloud Platform.
- Previous experience in advertising technology and its technology stack.
- Background in data mining or machine learning.
Culture & Benefits
- Flexible hybrid work environment.
- Retirement savings matching plan, personal spending account, summer hours, and paid time off.
- Course reimbursement and access to the Learning Academy.
- Virtual counseling sessions and free online doctor visits.
- Open communication, employee pulse surveys, and an anonymous reporting platform.
- Inclusive culture focused on diverse experiences and culture add.
Hiring process
- Interviews are expected to reflect the candidate’s own experience and thinking.
- Real-time AI assistance, live answer prompts, and automated response tools are not permitted during interviews.
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