Principal Data Architect

Job Overview :

Data engineers design, develop and maintain large-scale data systems. They work with various tools and technologies to process, analyze and store data.

• Develop scalable data pipelines using Python and PySpark.
• Work with SQL and MongoDB to manage and query large datasets.
• Implement solutions using Snowflake for data warehousing.
• Leverage AWS services such as S3, Glue, Lambda and Athena to process and analyze data.
• Implement CI / CD pipelines to streamline the deployment of data solutions.
• Monitor troubleshoot and optimize the performance of data systems.
• Implement best practices for data management ETL processes and SQL query optimization.
• Strong proficiency in Python and PySpark.
• Experience with SQL and NoSQL databases particularly MongoDB.
• Familiarity with Snowflake and its ecosystem.
• Hands-on experience with AWS services including S3 Glue Lambda and Athena.

Required Skills :

We are looking for candidates with :

Benefits : Our team offers :

Others :

If you are a motivated and detail-oriented individual who is passionate about data engineering we encourage you to apply for this exciting opportunity.