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Job Title: Databricks Azure Engineer Experience: 8+ Years Job Location: Santa Clara, CA (Onsite)
Job Description
Hands on experience in Databricks stack
Data Engineering technologies (Ex: Spark, Hadoop, Kafka etc.)
Must be proficient in Streaming technologies
Hands on in Python, SQL
Expertise in implementing Data warehousing solutions
Expertise in Any ETL tool i.e. (SSIS, Redwood)
Good understanding on submitting jobs using Workflows, API & CLI
Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks
Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
Highly proficient in using the spark framework (python and/or Scala)
Programming experience in Scala or Python, SQL
Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).
Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics
Experience with ingestion tools (nifi/azure cloud factory
