Cedent Consulting Inc
Data Engineering Manager, Analytics (Chicago, IL)
Cedent Consulting Inc, Chicago, Illinois, United States, 60290
Data Engineering Manager, Analytics (Chicago, IL)
Title: Data Engineering Manager, Analytics @ Chicago, ILTerms of Hire: Perm.Salary: $ Open K/ YR + Benefits.
Job Description:Bachelor's degree in Computer Science, Engineering, or related technical or business field.Deeply technical background – 8+ years working in Data with many years of experience as an individual contributor and at least 3+ years in management roles.5+ years of hands-on experience with one or more general purpose programming languages Python/JAVA and Shell/Bash scripting.5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL, Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.3+ years of experience collaborating with data science teams on data preparation, feature engineering, modeling and implementation.Can easily communicate technical concepts to a wide variety of audiences and navigate between big-picture and technical details.Experience identifying, developing, and growing talent.Demonstrable experience in creating a culture of inclusion, ownership and accountability through role modeling company values.Preference will be given to:Master’s degree in Computer Science, Engineering, or related technical or business field.Familiarity with AWS and cloud native data processing tools like Redshift, Presto, EMR, Glue, Athena, SageMaker. Certification on AWS Big Data technologies is a plus.Hands-on experience in Data Science with R or Python and familiarity with deep learning frameworks.Experience working with health care data.You Will Enjoy:An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.Department: Direct ClientsThis is a full-time position.
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Title: Data Engineering Manager, Analytics @ Chicago, ILTerms of Hire: Perm.Salary: $ Open K/ YR + Benefits.
Job Description:Bachelor's degree in Computer Science, Engineering, or related technical or business field.Deeply technical background – 8+ years working in Data with many years of experience as an individual contributor and at least 3+ years in management roles.5+ years of hands-on experience with one or more general purpose programming languages Python/JAVA and Shell/Bash scripting.5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL, Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.3+ years of experience collaborating with data science teams on data preparation, feature engineering, modeling and implementation.Can easily communicate technical concepts to a wide variety of audiences and navigate between big-picture and technical details.Experience identifying, developing, and growing talent.Demonstrable experience in creating a culture of inclusion, ownership and accountability through role modeling company values.Preference will be given to:Master’s degree in Computer Science, Engineering, or related technical or business field.Familiarity with AWS and cloud native data processing tools like Redshift, Presto, EMR, Glue, Athena, SageMaker. Certification on AWS Big Data technologies is a plus.Hands-on experience in Data Science with R or Python and familiarity with deep learning frameworks.Experience working with health care data.You Will Enjoy:An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.Department: Direct ClientsThis is a full-time position.
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