Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Able to Provide Sponsorship
Skills
Big data
Kafka
NoSQL
Hadoop
azure
Job Details
ob Title:Azure Data Engineer
Onsite - Dallas,TX and Chicago,IL
Need Only Locals
Send 12+ Profiles only
Experience working with and extracting value from large, disconnected and/or unstructured datasets
Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload management
Strong interpersonal skills and ability to project manage and work with cross-functional teams
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, Hadoop, PIG, Datameer or other big data tools.
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience with the following tools and technologies: Hadoop, Spark, Kafka, Pig, Datameer Relational SQL and NoSQL databases
Onsite - Dallas,TX and Chicago,IL
Need Only Locals
Send 12+ Profiles only
Experience working with and extracting value from large, disconnected and/or unstructured datasets
Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload management
Strong interpersonal skills and ability to project manage and work with cross-functional teams
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, Hadoop, PIG, Datameer or other big data tools.
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience with the following tools and technologies: Hadoop, Spark, Kafka, Pig, Datameer Relational SQL and NoSQL databases