Cloud Data Engineer
2 weeks ago
Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for cloud services. As an Apache Spark Engineer, you will work on designing, developing, and deploying large-scale data engineering pipelines using distributed systems.
The ideal candidate will have experience working with big data technologies such as Hadoop, NoSQL databases, and programming languages like Python, Scala, and SQL. Strong understanding of data warehousing concepts, ETL processes, and data governance policies is necessary.
You will also be responsible for ensuring data quality, performance, and security in our data engineering workflows. Additionally, you will contribute to the development of new features, tools, and processes to improve our data engineering capabilities.
This role requires excellent problem-solving skills, attention to detail, and strong communication skills. The ability to work collaboratively in a team environment and adapt quickly to changing priorities is essential.
Responsibilities:
- Design and develop large-scale data engineering pipelines using Apache Spark.
- Ensure data quality, performance, and security in data engineering workflows.
- Contribute to the development of new features, tools, and processes to improve data engineering capabilities.
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