Remote Principal Data Engineer

Description:

• The position is for a Principal Data Engineer with a minimum of 7+ years of experience required in desired technologies.
• Strong SQL skills are mandatory for this role.
• Candidates must have experience with NoSQL databases.
• The role requires a proven ability to design and build robust data pipelines using orchestration tools such as Airflow and cloud-native services.
• Experience with data modeling and ETL/ELT processes is essential.
• Candidates should have experience handling large volumes of both structured and unstructured data.
• Proficiency in Python is a mandatory requirement for programming tasks.
• Experience with cloud data warehousing, data lakes, and relevant cloud data services, including storage, databases, and processing, is required.
• It is desired that candidates have experience specifically preparing data for machine learning and generative AI use cases.
• Familiarity with data governance and quality frameworks is also a plus.

Requirements:

• A minimum of 7+ years of experience in data engineering and related technologies is required.
• Strong SQL skills are mandatory for the position.
• Candidates must have experience with NoSQL databases.
• Proven ability to design and build robust data pipelines using orchestration tools such as Airflow and cloud-native services is essential.
• Experience with data modeling and ETL/ELT processes is required.
• Candidates should have experience handling large volumes of structured and unstructured data.
• Proficiency in Python is a mandatory requirement.
• Experience with cloud data warehousing, data lakes, and relevant cloud data services is required.
• It is desired that candidates have experience preparing data for machine learning and generative AI use cases.
• Familiarity with data governance and quality frameworks is a plus.

Benefits:

• The job offers competitive compensation and benefits packages.
• Opportunities for professional development and career advancement are available.
• The company promotes a collaborative and innovative work environment.
• Employees may have access to flexible working arrangements.
• The role provides the chance to work on cutting-edge technologies and projects in the data engineering field.