Data Engineer

1. Proven experience in designing and implementing data processing solutions using Databricks and Apache Spark.
2. Strong programming skills in languages such as Scala Python.
3. Experience with Azure Data Factory
4. Experience with Azure Data Lake Storage
5. Experience with big data technologies data warehousing and ETL processes.
6. Familiarity with cloud platforms such as AWS Azure or Google Cloud Platform.
7. Proficiency of SQL data modeling and database systems.
8. Excellent problemsolving skills and attention to detail.
9. Strong communication and collaboration abilities.
10. Relevant certifications in Databricks and big data technologies are a plus

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