Data engineers that can define and implement the data requirements and database structure for the application. This includes viable solution building for large amount of data with state of the art technologies such as Spark for Big Data NoSQL for databases and Python. He/she shall model and design the application data storage and the logical and physical data model and implement the database. He/she ensures the smooth collection storage and exploitation of data by developing solutions that can handle a large amount of data in a limited time.
They will be integrated in Agile Squad including French Customer resources and will have constant and regular interactions in French inside the team.
Roles & Responsibilities (5-7 primary functions)
- Define and implement data requirements and database structures for applications.
- Design logical and physical data models and ensure efficient data storage.
- Develop scalable solutions using Big Data technologies (e.g. Spark Hadoop NoSQL).
- Ensure smooth data collection storage and processing for high-volume datasets.
- Establish and manage database operations change control and disaster recovery processes.
- Optimize performance and reliability of data systems.
- Collaborate with development teams to align data architecture with application needs..
Total Experience Expected: 06-08 years
Qualifications :
Bachelor in Engineering/ Computer Science
Technical Skills: Spark Python Postgres Microstrategy Helm Char ArgoCD Luigi SQL
Preferred Qualifications (good to have skills) - None
Additional Information :
Location: Noida/Chennai. Language Fluency French and English
At our organization we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
All of our positions are open to people with disabilities.
Remote Work :
No
Employment Type :
Full-time
Data engineers that can define and implement the data requirements and database structure for the application. This includes viable solution building for large amount of data with state of the art technologies such as Spark for Big Data NoSQL for databases and Python. He/she shall model and design ...
Data engineers that can define and implement the data requirements and database structure for the application. This includes viable solution building for large amount of data with state of the art technologies such as Spark for Big Data NoSQL for databases and Python. He/she shall model and design the application data storage and the logical and physical data model and implement the database. He/she ensures the smooth collection storage and exploitation of data by developing solutions that can handle a large amount of data in a limited time.
They will be integrated in Agile Squad including French Customer resources and will have constant and regular interactions in French inside the team.
Roles & Responsibilities (5-7 primary functions)
- Define and implement data requirements and database structures for applications.
- Design logical and physical data models and ensure efficient data storage.
- Develop scalable solutions using Big Data technologies (e.g. Spark Hadoop NoSQL).
- Ensure smooth data collection storage and processing for high-volume datasets.
- Establish and manage database operations change control and disaster recovery processes.
- Optimize performance and reliability of data systems.
- Collaborate with development teams to align data architecture with application needs..
Total Experience Expected: 06-08 years
Qualifications :
Bachelor in Engineering/ Computer Science
Technical Skills: Spark Python Postgres Microstrategy Helm Char ArgoCD Luigi SQL
Preferred Qualifications (good to have skills) - None
Additional Information :
Location: Noida/Chennai. Language Fluency French and English
At our organization we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
All of our positions are open to people with disabilities.
Remote Work :
No
Employment Type :
Full-time
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