As a Spark Staff Technical Solutions Engineer, you will provide technical solutions for Apache SparkTM/ML/AI/Delta/Streaming/Lakehouse issues, assist customers in their Databricks journey, and provide guidance and expertise to achieve their strategic objectives.
Requirements
- 8+ years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications
- 2+ years of hands-on experience in developing Big Data, Hadoop, Apache SparkTM, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale
- Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale
- Excellent written and oral communication skills
- Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment
Benefits
- Comprehensive benefits and perks
- Internal wiki, knowledge base with technical documentation, manuals for the support team and for the customers
- Diversity and inclusion culture
- Equal employment opportunity standards