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Senior Java Software Engineer
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Senior Java Software Engineer
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Java Engineer
Il y a 3 mois
Skills / Job Stream Ref:
Data Engineering
Dailymotion is the leading video discovery destination & technology that learns about your tastes over time, constantly surfacing the best, most relevant content on the web.
Our mission is to provide the best video user experience for consumers on the market, connecting publishers and advertisers to engaged viewers who turn to Dailymotion for their daily fix of the mostcompelling music, entertainment, news and sports content around.
Through partnerships with the world's leading publishers and content creators, FranceTélévisions, LeMonde, CBS, Bein Sports, CNN, GQ, Universal Music Group, VICE and more, Dailymotion commands 3billion monthly pageviews across its mobile app, desktop and connected TV experiences.
We build the best place for people to enjoy the videos that matter. We do this by helping these publishers grow their audiences and monetize their content, their way.Dailymotion is seeking an Analytics Engineer to join the Data Engineering Teams.
Our craft is responsible for most of the Data products at Dailymotion; your work will have an impact throughout Dailymotion's business and help make data-driven decisions on products and strategy.
You'll join the Data Engineering craft at Dailymotion, to create and maintain data products. The Analytics Engineering team focuses on providing reliable data for analysis company-wide.This includes building and managing our multi-petabyte data warehouse, highly scalable client-facing analytics, data ingestion & distribution, and data synchronization systems.
As an Analytics Engineer, you'll blend software engineering and data skills to maintain code and model data effectively.You will work in an environment made up of Data Lakes (BigQuery, etc.), data streaming platforms (Beam / Dataflow, Flink, etc.), orchestration and scheduling platforms (Airflow), container-oriented deployment, and management platforms (Docker, K8S, JenkinsX), SQL, Data Quality Tools (DBT, Sifflet).
You will also participate in data modeling activities and design of data flows until their implementation and support in production.
Ingest extensive volumes of raw data from both internal and external sources using batch and streaming methods.Expose the data through various means such as APIs, datamarts, and flat files for both internal and external users.
Build complex and efficient SQL queries to transform data within our data lake into reliable business entities and reporting aggregates.
Identify and manage dependencies for these transformations, scheduling them using tools like Airflow.Investigate discrepancies and quality issues in the data, as well as addressing performance issues.
Design optimized and cost-efficient data models in BQ while addressing business use cases.
Ensure data cleanliness, consistency, and availability by performing data quality checks and implementing monitoring.
Catalog and document various aspects of the data, including business entities, datamarts, dimensions, metrics, and business rules.
Serve as a subject matter expert on business entities and datamarts, providing training to users on SQL and analytics best practices (collaboration with Business Insight).
Minimum of 2-3 years of experience in Data Analytics.Fluent in both English (pro level) and French.
Motivated to work on building batch and streaming data pipelines to handle a high volume of events.
Proficiency in various programming languages such as Python, Golang (preferred) and Java with a focus on matching development standards to ensure the delivery of reusable and high-quality code.
Hands-on experience with different types of databases and strong SQL knowledge.Experience in establishing and maintaining unit, integration, and end-to-end tests.
Proficiency in monitoring systems and tools for ensuring the health and performance of data pipelines.
Good level knowledge onhow to analyze, design, or improve the efficiency, scalability, and stability of data collection, storage, and retrieval processes.
If you meet these qualifications and are passionate about leveraging data to drive insights and innovation, we encourage you to apply.
For the France offices~ Hybrid Work Framework (4 types of remote work :Full office /Flex office (1/2 days remote) / Flex remote (1/2 days at the office) / Full remote + ability to work 3 month abroad)
~ Paternity leave or Coparental leave extended Living Employee Culture (Events / Trainings / Partys / All hands / Dailymotion tradition...)
~ Career development support (training / internal mobility / compensation cycle / 360 quarter feedback review ...)
~ High-end Health Insurance and Personal Services Vouchers (CESU)
~ Paid Time off – RTT and Saving time plan (CET)
~ Meal Vouchers – Public Transport and Bike refund
~ European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount)
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