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Business Intelligence Analyst
2 weeks ago
To succeed in this role, you will need strong technical expertise in data modeling, data ingestion, distributed processing, data warehousing, and ETL processes. Experience with Apache Kafka and Spark Streaming is highly desirable. You should also have proficiency in SQL, Python, PySpark, and Spark SQL, as well as a solid understanding of the Databricks platform. Additionally, you should be able to build large-scale batch and real-time data pipelines, optimize Databricks cluster configurations, and maintain, monitor, and handle enhancement requests for data pipelines.
Preferred Skills:
- Data modeling and ingestion: Strong experience in data modeling and ingestion to support business requirements.
- Distributed processing and warehousing: Proven expertise in developing and optimizing distributed processing and warehousing solutions.
- ETL processes and data pipelines: Experience in designing and implementing ETL processes and data pipelines.
- Collaboration and communication: Excellent collaboration and communication skills to work with stakeholders effectively.