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Software Engineer - APG
Applied Performance Engineer at Snowflake resolves complex customer performance issues, conducts competitive benchmarks, and collaborates with engineering teams to enhance the Cloud Data Platform. Requires 2+ years in data engineering or databases, strong SQL/Python skills, and cloud expertise.
160k – 230kMenlo Park, CAFullstack EngineeringOnsite2+ YOE
About the role
Responsibilities
- Be an expert on 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 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
- Minimum 2 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiatives
- Experience working directly with engineering teams, product managers, and management
- Strong communication skills for technical and executive audiences
- Broad understanding of cloud platforms (e.g., AWS, Azure, OpenStack)
- Proven track record with Snowflake competitors
- Deep understanding of data engineering and analytics stack
- Deep technical expertise in databases, data warehouses, data processing
- Coding experience in process automation
- Strong SQL performance analysis, Python and/or Java expertise
Strongly Desired
- Extensive knowledge of large-scale databases and distributed processing (e.g., Databricks, Spark, BigQuery, Redshift)
- Software development with C/C++, Java, Scala, Spark
- Scripting with Python, Ruby, Perl, Bash
- AI/ML technologies experience
- University degree in computer science, engineering, mathematics or equivalent
Skills
SnowflakeSQLPythonJavaAWSAzureData WarehousingSparkBigQueryRedshift
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