Data Engineer( Azure Databricks, PySpark/Python )
2 days ago
Responsibilities:
- designing, developing, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Live Tables.
- Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and pipelines.
- Implement best practices for data engineering, including data quality, and data security.
- Optimize and troubleshoot complex data workflows to ensure high performance and reliability.
- Develop and maintain documentation for data engineering processes and solutions.
Requirements:
- Bachelor's or Master's degree.
- Proven experience as a Data Engineer, with a focus on Databricks, PySpark, Spark SQL, and Delta Live Tables.
- Strong understanding of data warehousing concepts, ETL processes, and data modelling.
- Proficiency in programming languages such as Python and SQL.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong leadership and communication skills, with the ability to mentor and guide team members.
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