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SnowflakeSnowflakeMenlo Park, CA

Staff Software Engineer - Applied Performance Group

Staff Software Engineer in Applied Performance Group tackles challenging customer performance issues, conducts competitive benchmarks, and collaborates with engineering and sales to optimize Snowflake's cloud data platform. Requires 5+ years in data engineering/databases, strong SQL/Python/Java skills, and cloud expertise.

236k – 339k
On-site5+ YOEFullstack Engineering

About the role

Responsibilities

  • Be an expert on the topics of Snowflake architecture, query processing, workload profiling, data engineering, and Snowflake tools
  • Be an expert in competitor solutions/products for analytics and data engineering
  • Define, automate, execute, and publish competitive benchmarks
  • Partner closely with other engineering teams to deliver both results and guidance on performance gaps, challenges, advantages, and disadvantages
  • Collaborate with Product Management and Engineering to continuously improve Snowflake’s products and eco-system roadmaps.

Requirements

Ideal Applied Performance Engineer Will Have:

  • Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiatives
  • Experience and ability to work directly with other engineering teams, product managers, and various levels of management
  • Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiences
  • Broad understanding of cloud platforms and solutions, including experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
  • Proven track record of experience with Snowflake competitors
  • Deep understanding of complete data engineering and analytics stack and workflow, from data ingestion and load to transformation to data platform design to BI and analytics tools
  • Deep technical expertise in databases, data warehouses, data processing, and applications
  • Coding/programming experience in process automation
  • Strong SQL performance analysis experience, Python and/or Java expertise, and the ability to use tools to identify and articulate performance issues

Strongly Desired:

  • Extensive knowledge of and experience with large-scale databases and distributed data processing technology (e.g. Databricks, Spark, Netezza, Oracle, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, Postgres, Apache Spark, Ray, Dask, Apache Kafka, Apache Flink)
  • Software development experience with C/C++, Java, Scala, Spark
  • Scripting experience with Python, Ruby, Perl, Bash
  • Knowledge of and experience with AI and Machine Learning technologies (e.g. PyTorch)
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Skills

SQLPythonJavaSnowflakeAWSAzureSparkDatabricksGoogle BigqueryAmazon RedshiftApache KafkaKubernetesTeradataOraclePostgres

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