Azure Data engineer with Azure data factory and pyspark-- EST/CST-no corps --remote
NOTICE- Any pay ranges displayed are estimations.
Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.
All qualified applicants are welcome to apply.
Senior Associate should have hand on PySpark, ADF, ADLS, Delta tables, SparkSQL, etc.
Architects, in addition to the above must have Architecture experience designing solutions and frameworks ground up and not to just build data pipelines using the existing setup Top Skill Sets/ Experiences Required:
These requirements must be strong and reflected on the resume:
Azure Data Factory Azure Pyspark, Databricks APIs Your Skills &
Experience:
o Demonstrable experience in enterprise level data platforms involvingimplementation of end to end data pipelineso Good communication and willingness to work as a teamo Hands-on experience with at least one of the leading public cloud dataplatforms (Amazon Web Services, Azure or Google Cloud)o Experience with column-oriented database technologies (i.
e.
Big Query,Redshift, Vertica), NoSQL database technologies (i.
e.
DynamoDB, BigTable,Cosmos DB, etc.
) and traditional database systems (i.
e.
SQL Server, Oracle,MySQL)o Experience in architecting data pipelines and solutions for both streaming andbatch integrations using tools/frameworks like Glue ETL, Lambda, GoogleCloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
o Ability to handle multiple responsibilities simultaneously in leadership andcontributing to tasks hands-ono Understanding of data modeling, warehouse design and fact/dimensionconceptsThanksRenu Goel857-207-2676 email protected Recommended Skills Api Amazon Dynamo Db Amazon Redshift Amazon Web Services Apache Spark Architecture Estimated Salary: $20 to $28 per hour based on qualifications.
Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.
All qualified applicants are welcome to apply.
Senior Associate should have hand on PySpark, ADF, ADLS, Delta tables, SparkSQL, etc.
Architects, in addition to the above must have Architecture experience designing solutions and frameworks ground up and not to just build data pipelines using the existing setup Top Skill Sets/ Experiences Required:
These requirements must be strong and reflected on the resume:
Azure Data Factory Azure Pyspark, Databricks APIs Your Skills &
Experience:
o Demonstrable experience in enterprise level data platforms involvingimplementation of end to end data pipelineso Good communication and willingness to work as a teamo Hands-on experience with at least one of the leading public cloud dataplatforms (Amazon Web Services, Azure or Google Cloud)o Experience with column-oriented database technologies (i.
e.
Big Query,Redshift, Vertica), NoSQL database technologies (i.
e.
DynamoDB, BigTable,Cosmos DB, etc.
) and traditional database systems (i.
e.
SQL Server, Oracle,MySQL)o Experience in architecting data pipelines and solutions for both streaming andbatch integrations using tools/frameworks like Glue ETL, Lambda, GoogleCloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
o Ability to handle multiple responsibilities simultaneously in leadership andcontributing to tasks hands-ono Understanding of data modeling, warehouse design and fact/dimensionconceptsThanksRenu Goel857-207-2676 email protected Recommended Skills Api Amazon Dynamo Db Amazon Redshift Amazon Web Services Apache Spark Architecture Estimated Salary: $20 to $28 per hour based on qualifications.
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