CapTech
Data Engineer (AWS, Azure, GCP)
CapTech, Chicago, Illinois, United States, 60290
Job Description
CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.Specific responsibilities for the Data Engineer – Cloud position include:Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quicklyUtilizing your skills in engineering best practices to solve complex data problemsCollaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.Articulating architectural differences between solution methods and the advantages/disadvantages of eachQualifications
Typical experience for successful candidates includes:Experience delivering solutions on a major cloud platformAbility to think strategically and relate architectural decisions/recommendations to business needs and client cultureExperience in the design and implementation of data architecture solutionsA wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelinesAbility to assess and utilize traditional and modern architectural components required based on business needs.A demonstrable ability to deliver production data pipelines and other data products. This could be hands-on experience, degree, certification, bootcamp, or other learning.Skills:Successful candidates usually have demonstrable experience with technologies in some of these categories:Languages: SQL, Python, Java, R, C# / C++ / CAdditional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMRPopular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer
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CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.Specific responsibilities for the Data Engineer – Cloud position include:Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quicklyUtilizing your skills in engineering best practices to solve complex data problemsCollaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.Articulating architectural differences between solution methods and the advantages/disadvantages of eachQualifications
Typical experience for successful candidates includes:Experience delivering solutions on a major cloud platformAbility to think strategically and relate architectural decisions/recommendations to business needs and client cultureExperience in the design and implementation of data architecture solutionsA wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelinesAbility to assess and utilize traditional and modern architectural components required based on business needs.A demonstrable ability to deliver production data pipelines and other data products. This could be hands-on experience, degree, certification, bootcamp, or other learning.Skills:Successful candidates usually have demonstrable experience with technologies in some of these categories:Languages: SQL, Python, Java, R, C# / C++ / CAdditional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMRPopular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer
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