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Senior Data Engineer Remote WFH
2 weeks ago
To work in a variety of settings to
build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret .
Their ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.
They will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
They will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Requirements
Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
Using Data frames to convert for PySparkSql. Working in Azure Databricks and DATAFACTORY to migrate the data.
Creating Databricks notebooks using SQL, Pyspark for data validation.
Experience in database design and development using Microsoft SQL Server, Stored Procedure, and Functions.
Involved in development of code from scratch for the given requirement.
BenefitsCareer GrowthRemote WorkRequirementsDemonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Using Data frames to convert for PySparkSql. Working in Azure Databricks and DATAFACTORY to migrate the data. Creating Databricks notebooks using SQL, Pyspark for data validation. Experience in database design and development using Microsoft SQL Server, Stored Procedure, and Functions. Involved in development of code from scratch for the given requirement.
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