Senior Data Solution Developer
3 days ago
As a highly skilled Data Engineer, you will work on the development of scalable solutions for our users. This role requires a strong focus on detailed design skills to create efficient data solutions.
You will collaborate with senior engineers, product managers, and other cross-functional teams to build and enhance new features using Azure Databricks, SQL, Python, Py-spark, and Automation.
Key Responsibilities:
- Design and develop scalable data solutions using Azure Databricks, SQL, Python, Py-spark, and Automation.
- Collaborate with cross-functional teams to build and enhance new features.
- Develop and maintain high-quality code, ensuring adherence to coding standards and best practices.
- Participate in code reviews, providing constructive feedback to improve code quality.
Requirements:
- Bachelor's degree in computer science, information technology, or a related field.
- 4-8 years of hands-on experience using Azure Databricks, Py-spark, SQL, Python, Automation.
- Database Management: Hands-on experience with SQL and NoSQL databases.
- DevOps & Cloud: Familiarity with AWS, GCP, or Azure, and containerization tools like Docker/Kubernetes.
- CI/CD & Version Control: Proficiency in Git and experience working with CI/CD pipelines.
- Agile & Collaboration: Experience in Agile development methodologies with excellent problem-solving skills.
Benefits include a competitive salary and comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
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