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Senior Data Engineer/Data Scientist

8.00 to 12.00 Years   Pune   06 Dec, 2023
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustrySoftware Product
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Build the future of data. Join the Snowflake team.Were looking for a talented Senior Data Scientist to come aboard. In this role, you will work closely with our Product and Engineering teams to uncover insights about how customers use Snowflake, helping to inform Products decision making and focus Engineering efforts. You will also work on long-running analytical initiatives marked by greater complexity and less structure that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.AS A SENIOR DATA SCIENTIST AT SNOWFLAKE YOU WILL: Sleuth through large amounts of data to uncover feature-usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve user experience. Collaborate closely with Engineers and Product Managers to inform product decision making with data and to identify opportunities to create more value for our customers. Build. dashboards to help Engineering and Product Managers monitor performance and availability of our system. Answer questions from the executive team for board reporting, publications, and industry reports. Think creatively to find optimal solutions to our complex, often unstructured problems.OUR IDEAL CANDIDATE WILL HAVE: BS/MS in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS) Expert-level experience working with SQL and relational data (8 years on a regular basis). 8 years of experience with Python, including scikit-learn, numpy, and pandas. Experience working with large-scale machine generated data (e.g., log, application, or customer-usage data). Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. Ability to clearly present learnings to business leaders and technical stakeholders. The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Prior experience on data engineering products like ingestion, connectors is a plusSnowflake is growing fast, and were scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake,

Keyskills :
SQLPythonnumpySnowflakeVerticadata engineeringscikitlearnpandasMPP databasesRedshift

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