Mid Analytics Engineer All genders
Mid Analytics Engineer All genders
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Salary Not Disclosed
1 Vacancy
Job Description
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 Dailymotions business and help make datadriven decisions on products and strategy.
Youll join the Data Engineering craft at Dailymotion to create and maintain data products. The Analytics Engineering team focuses on providing reliable data for analysis companywide. This includes building and managing our multipetabyte data warehouse highly scalable clientfacing analytics data ingestion & distribution and data synchronization systems. As an Analytics Engineer youll blend software engineering and data skills to maintain code and model data effectively. If youre eager to solve challenging business problems this role offers a broad impact across all of Dailymotions businesses.
Our stack runs almost exclusively on Google Cloud Platform. You will work in an environment made up of Data Lakes (BigQuery etc. orchestration and scheduling platforms (Airflow) containeroriented 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.
- Expose the data through various means such as 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 costefficient 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).
- Innovate by proposing new tools processes documentation and exploring emerging technologies during designated cooldown periods.
Qualifications :
- Minimum of 23 years of experience in Data Analytics.
- Fluent in both English (pro level) and French.
- Good proficiency with SQL.
- Strong team player actively contributing to continuous improvement and fostering effective collaboration.
- Proactive approach to continuous technical exploration with a keen interest in implementing new technologies and innovative solutions including prototyping.
- Ability to draft technical specifications and good understanding of data modeling techniques (star snowflake medallion etc).
- Handson experience in building and managing analytics pipelines.
- Capable of making informed decisions based on business opportunities.
- Proficiency in at least one of the following programming languages: Python Golang (preferred or Java
- Handson experience with cloudbased data warehouses particularly BigQuery/Snowflake.
- Proficiency in monitoring data quality of datasets and investigating discrepancies
- Good level knowledge on how 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.
Informations supplmentaires :
What we offer you:
Additional opportunities as we grow and learn together.
Join our open collaborative culture.
Exciting dynamic projects to work on.
Flexibility.
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)
- Saving Plan Vivendi
- 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
- Highend 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)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
