
Data Engineering Professional
7 days ago
Job Title: Data Engineer
We're seeking a skilled professional to develop efficient and scalable data pipelines using Azure Databricks, SQL, Python, and Py-spark.
Key Responsibilities:
- Develop high-quality data pipelines with expertise in Azure Databricks, SQL, Python, and Py-spark.
- Design and implement robust database solutions using SQL and NoSQL databases.
- Collaborate with cross-functional teams to build and enhance new features.
- Drive innovation and growth by working with senior engineers, product managers, and other stakeholders.
Requirements:
- Bachelor's degree in computer science or a related field.
- 4-8 years of hands-on experience using Azure Databricks, Py-spark, SQL, Python, and Automation.
- Database Management: Expertise in 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.
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