We are looking for a talented person who is passionate about data and what makes it valuable.
This person will help us improve and evolve our telemetric data across all stages – collection, modeling, analysis, and serving.
We are looking for someone who can understand the entire path of how telemetry data is collected, processed, analyzed, improved, described, and consumed inside the organization.
Key Responsibilities
Contribute to transforming the companys telemetry data and taking it to the next level.
Assist in maintaining and improving diagnostics and monitoring data deployed across various customer hardware and software environments.
Work with large-scale data to generate actionable insights and integrate diverse internal data sources.
Help in serving, exposing, and documenting the collected data for internal teams across the organization.
This person will help us improve and evolve our telemetric data across all stages – collection, modeling, analysis, and serving.
We are looking for someone who can understand the entire path of how telemetry data is collected, processed, analyzed, improved, described, and consumed inside the organization.
Key Responsibilities
Contribute to transforming the companys telemetry data and taking it to the next level.
Assist in maintaining and improving diagnostics and monitoring data deployed across various customer hardware and software environments.
Work with large-scale data to generate actionable insights and integrate diverse internal data sources.
Help in serving, exposing, and documenting the collected data for internal teams across the organization.
Requirements:
2+ years of experience with SQL/NoSQL databases.
Experience with data platforms such as Databricks, Datadog, Snowflake – must.
DevOps skills using one of the public cloud providers – must.
Experience with data visualization tools like powerBI – must.
Proven record of building, planning, and maintaining, high performance data pipelines.
Understanding in coding/scripting (Mostly pyspark, pandas, ML libs) – advantage.
2+ years of experience with SQL/NoSQL databases.
Experience with data platforms such as Databricks, Datadog, Snowflake – must.
DevOps skills using one of the public cloud providers – must.
Experience with data visualization tools like powerBI – must.
Proven record of building, planning, and maintaining, high performance data pipelines.
Understanding in coding/scripting (Mostly pyspark, pandas, ML libs) – advantage.
This position is open to all candidates.
