Senior Data Engineer (DataFactory/DataBricks) - Remote

Overview

The Senior Data Engineer will be responsible for developing data solutions and algorithms, with a focus on utilizing Databricks and Azure Data Factory to enhance data processing and analytics capabilities.

In Short

• Work with Databricks for building data pipelines and notebooks.
• Utilize Azure Data Factory for creating and configuring data flows.
• Strong experience with MS SQL and Cosmos DB.
• Implement Python programming for data processing tasks.
• Collaborate with stakeholders to define technical requirements.
• Conduct analysis and debugging of software code.
• Develop and document programming interfaces and software modules.
• Ensure compliance with software performance standards.
• Work in a dynamic environment with minimal bureaucracy.
• Engage in close cooperation with clients on challenging tasks.

Requirements

• 4+ years of experience as a Data Engineer.
• Proficient in Databricks and Azure Data Factory.
• Experience with MS SQL and Cosmos DB.
• Strong Python programming skills.
• Familiarity with CI/CD systems.
• Knowledge of RESTful APIs and Microsoft Azure services.
• Understanding of security protocols and data architectures.
• Experience with various databases and data solutions.
• Ability to analyze and optimize code.
• Strong problem-solving and debugging skills.

Benefits

• Close cooperation with customers.
• Challenging tasks to enhance skills.
• Opportunities for competence development.
• Work with a team of professionals.
• A dynamic work environment with low bureaucracy.