Specialist Software Engineer - Big Data Engineering

·        Identify and select relevant data sources to be ingested into the data lake based on business and analytical needs.

·        Design and manage the structure and organization of data within the data lake to ensure accessibility, scalability, and performance.

·        Develop and maintain ETL pipelines using PySpark for data cleaning, transformation, and integration across multiple sources.

·        Implement ETL configuration elements such as data formatting, deduplication, volumetric analysis, and enrichment, ensuring comprehensive documentation is maintained.

·        Contribute to the definition and design of new use cases by identifying relevant data, transforming it, and preparing it for analysis.

·        Develop and maintain interactive dashboards that visualize key metrics and insights derived from processed data

·        Monitor and troubleshoot data workflows to ensure reliability and accuracy in production environments.

·        Document pipeline logic, data sources, and transformation rules for transparency and maintainability.

Technical Skills

Proficiency in Python and PySpark for data processing.

Strong SQL skills and experience with relational databases.

Experience with dashboarding tools will be a plus (e.g., Power BI, Tableau...).

Familiarity with data warehousing (Cloudera)

Understanding of data modeling, data lakes, and data governance.

Soft Skills

Strong analytical and problem-solving abilities.

Excellent communication skills to collaborate with technical and non-technical stakeholders.

Ability to manage multiple tasks and prioritize effectively.

Detail-oriented with a focus on data accuracy and usability.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

Fluent English is a must; French will be a plus, but not mandatory

Knowledge of business intelligence and data storytelling principles.

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”

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