Senior Spark Solutions Expert

Há 3 dias

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro US$125.000 - US$175.000

Technical Solutions Specialist

About the Role

We are seeking a skilled Technical Solutions Specialist to join our team. As a key member of our technical team, you will play a vital role in providing expert-level solutions and consulting services to our customers using a unified analytics platform.

Your expertise in Apache Spark, Machine Learning, Artificial Intelligence, Delta, Streaming, and Lakehouse will be instrumental in resolving challenging issues reported by our customers.

Key Responsibilities:
  • Perform in-depth analysis and troubleshooting of issues in Apache Spark using Spark UI metrics, DAG, and Event Logs.
  • Troubleshoot, resolve, and suggest deep code-level analysis of Spark to address customer issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse, and other Databricks runtime features.
  • Assist customers in setting up reproducible Spark problems with solutions in areas such as Spark SQL, Delta, Memory Management, Performance tuning, Streaming, Data Science, and Data Integration.
  • Contribute to the development of tools and automation initiatives.
  • Participate in strategic customer day-to-day Spark and Cloud issues.
  • Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by customers.
  • Provide front-line support on third-party integrations with the environment.
  • Plan and coordinate with Account Executives, Customer Success Engineers, and Resident Solution Architects for coordinating customer issues and best practices guidelines.
  • Participate in screen-sharing meetings, answer Slack channel conversations with internal stakeholders and customers, and help drive major Spark issues at an individual contributor level.
Requirements:
  • 8+ years of experience in designing, building, testing, and maintaining Python/Java/Scala-based applications in typical project delivery and consulting environments.
  • 2+ years of hands-on experience in developing Big Data, Hadoop, Apache Spark, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch-related industry use cases at production scale.
  • Hands-on experience in the performance tuning/troubleshooting of Hive and Spark-based applications at production scale.
  • Proven real-time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis.
  • Working knowledge in Data Lakes and preferably on SCD types use cases at production scale.
  • Working and hands-on experience with any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL.
  • Linux/Unix administration skills is a plus.
  • Hands-on experience with AWS or Azure or GCP is preferred.

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