Data Engineer

**Company Description**:
Orange provides your personalized go-to pool of strategy planners, creatives, and technologists for your brand and campaign that aren't part of your daily routine.
Strategic managers, content specialists, conceptual creatives, producers, SEO experts, product managers, and others are among the impact players who are held match-fit for your brand.
- Design and build highly scalable pipeline (end-to-end) for large volumes of complex data processing and analysis
- Build and develop large data warehouses, high performance data processing pipelines, and ETL tools
- Ensure high data integrity and quality from various data sources
- Design and implement process improvements, build automated processes, optimize data delivery and re-designing infrastructure for larger scalability
- Work with machine learning systems in production
- Understanding of software design principles and best practices (test driven development, source control management etc.)
- Able to clearly articulate pros and cons of different technologies, solutions and platforms
- Able to document use cases, solutions and recommendations

**Qualifications**:

- Solid experience and knowledge on Google Cloud Platform (or any of the major cloud solution providers such as AWS, Azure, AliCloud) for data management: Composer, Pubsub, Google Storage, Dataflow, Big Query and Data Fusion, or equivalent
- Savvy with Airflow, or a diverse set of data technologies: Redshift, Elastic Search, PostgreSQL, Spark, Hadoop, Kubernetes
- Fluency in Python, SQL, Java or equivalent
- Understanding of SQL & NoSQL databases and other manipulation tools
- Ability to work with stream-processing systems: Storm, Spark-streaming, etc.
- Able to benchmark systems, analyse performance and bottlenecks and propose solutions to resolve them

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