Data Engineering Lead
Data Engineering Lead Location: Glen Allen, VA Duration: Long Term Description: Responsibilities: Lead a data engineering team to create and maintain optimal data pipeline architecture for enterprise big data and analytics in a cloud based big data environment Work with data architects, data analysts, and engineers to translate requirements into working big data designs and workflows Lead the Design and assembly of large, complex data sets that meet functional / non-functional business requirements. Conceive and implement internal process improvements in data analytics: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Mentor and motivate a team of highly skilled data engineers to meet product development goals and timelines in a dynamic environment Specify and help to build the infrastructure and workflows required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ?big data? technologies. Optimize the design and implementation of analytics applications that utilize the data pipeline to provide actionable insights into key business performance metrics as specified by stakeholders. Ensure compliance with security requirements to keep sensitive data, including PHI and PII data separated and secure across clients. Work with data and analytics experts to strive for greater functionality in our data systems to help make us a market leader in big data. Qualifications: 3+ years of Experience as a lead on a data analytics engineering team 8+ years of Experience with frameworks such as .NET and .NET Core 6+ years of Experience using XML, JSON, EDI, or other data schema formats 5+ years of Experience with SSIS, SAS, Informatica or other ETL tools including building and optimizing big data pipelines and data sets 2+ years of Experience in the Azure Data Engineering environment using Databricks, Datalake, Azure Storage, etc. Expert in object oriented analysis, SOA, design patterns, development, implementation and maintenance Expert with relational databases (SQL Server preferred) and query languages such as SQL, T-SQL, Linq, etc. Very good knowledge of Microsoft development tools such as Languages like C#, Visual Basic .NET, F#, C++ .NET Web frameworks like ASP.NET, MVC 1-6, ASP.NET Web Api Messaging and data exchange using frameworks like WCF, ASP.NET WebApi ORM?s such as Entity Framework Expert in agile devops including continuous integration using tools like: Unit testing frameworks nUnit, SpecFlow, MSTest, xUnit Source code control using Git and GitFlow Code deployment using tools like TeamCity, Jira, etc. Agile team workflow using SAFe Excellent verbal and written communication skills Excellent customer service skills and a proven focus on results and delivery Experience in onshore/offshore mixed development team models
Reference : Data Engineering Lead jobs
from Latest listings added - cvwing http://cvwing.com/jobs/technology/data-engineering-lead_i12122
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Data Engineering Lead
Data Engineering Lead Location: Glen Allen, VA Duration: Long Term Description: Responsibilities: Lead a data engineering team to create and maintain optimal data pipeline architecture for enterprise big data and analytics in a cloud based big data environment Work with data architects, data analysts, and engineers to translate requirements into working big data designs and workflows Lead the Design and assembly of large, complex data sets that meet functional / non-functional business requirements. Conceive and implement internal process improvements in data analytics: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Mentor and motivate a team of highly skilled data engineers to meet product development goals and timelines in a dynamic environment Specify and help to build the infrastructure and workflows required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ?big data? technologies. Optimize the design and implementation of analytics applications that utilize the data pipeline to provide actionable insights into key business performance metrics as specified by stakeholders. Ensure compliance with security requirements to keep sensitive data, including PHI and PII data separated and secure across clients. Work with data and analytics experts to strive for greater functionality in our data systems to help make us a market leader in big data. Qualifications: 3+ years of Experience as a lead on a data analytics engineering team 8+ years of Experience with frameworks such as .NET and .NET Core 6+ years of Experience using XML, JSON, EDI, or other data schema formats 5+ years of Experience with SSIS, SAS, Informatica or other ETL tools including building and optimizing big data pipelines and data sets 2+ years of Experience in the Azure Data Engineering environment using Databricks, Datalake, Azure Storage, etc. Expert in object oriented analysis, SOA, design patterns, development, implementation and maintenance Expert with relational databases (SQL Server preferred) and query languages such as SQL, T-SQL, Linq, etc. Very good knowledge of Microsoft development tools such as Languages like C#, Visual Basic .NET, F#, C++ .NET Web frameworks like ASP.NET, MVC 1-6, ASP.NET Web Api Messaging and data exchange using frameworks like WCF, ASP.NET WebApi ORM?s such as Entity Framework Expert in agile devops including continuous integration using tools like: Unit testing frameworks nUnit, SpecFlow, MSTest, xUnit Source code control using Git and GitFlow Code deployment using tools like TeamCity, Jira, etc. Agile team workflow using SAFe Excellent verbal and written communication skills Excellent customer service skills and a proven focus on results and delivery Experience in onshore/offshore mixed development team models
Reference : Data Engineering Lead jobs
from Latest listings added - LinkHello http://linkhello.com/jobs/technology/data-engineering-lead_i9132
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Data Engineering Lead
Data Engineering Lead Location: Glen Allen, VA Duration: Long Term Description: Responsibilities: Lead a data engineering team to create and maintain optimal data pipeline architecture for enterprise big data and analytics in a cloud based big data environment Work with data architects, data analysts, and engineers to translate requirements into working big data designs and workflows Lead the Design and assembly of large, complex data sets that meet functional / non-functional business requirements. Conceive and implement internal process improvements in data analytics: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Mentor and motivate a team of highly skilled data engineers to meet product development goals and timelines in a dynamic environment Specify and help to build the infrastructure and workflows required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ?big data? technologies. Optimize the design and implementation of analytics applications that utilize the data pipeline to provide actionable insights into key business performance metrics as specified by stakeholders. Ensure compliance with security requirements to keep sensitive data, including PHI and PII data separated and secure across clients. Work with data and analytics experts to strive for greater functionality in our data systems to help make us a market leader in big data. Qualifications: 3+ years of Experience as a lead on a data analytics engineering team 8+ years of Experience with frameworks such as .NET and .NET Core 6+ years of Experience using XML, JSON, EDI, or other data schema formats 5+ years of Experience with SSIS, SAS, Informatica or other ETL tools including building and optimizing big data pipelines and data sets 2+ years of Experience in the Azure Data Engineering environment using Databricks, Datalake, Azure Storage, etc. Expert in object oriented analysis, SOA, design patterns, development, implementation and maintenance Expert with relational databases (SQL Server preferred) and query languages such as SQL, T-SQL, Linq, etc. Very good knowledge of Microsoft development tools such as Languages like C#, Visual Basic .NET, F#, C++ .NET Web frameworks like ASP.NET, MVC 1-6, ASP.NET Web Api Messaging and data exchange using frameworks like WCF, ASP.NET WebApi ORM?s such as Entity Framework Expert in agile devops including continuous integration using tools like: Unit testing frameworks nUnit, SpecFlow, MSTest, xUnit Source code control using Git and GitFlow Code deployment using tools like TeamCity, Jira, etc. Agile team workflow using SAFe Excellent verbal and written communication skills Excellent customer service skills and a proven focus on results and delivery Experience in onshore/offshore mixed development team models
Reference : Data Engineering Lead jobs
from Latest listings added - LinkHello http://linkhello.com/jobs/technology/data-engineering-lead_i9132
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Data Engineering Lead
Data Engineering Lead Location: Glen Allen, VA Duration: Long Term Description: Responsibilities: Lead a data engineering team to create and maintain optimal data pipeline architecture for enterprise big data and analytics in a cloud based big data environment Work with data architects, data analysts, and engineers to translate requirements into working big data designs and workflows Lead the Design and assembly of large, complex data sets that meet functional / non-functional business requirements. Conceive and implement internal process improvements in data analytics: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Mentor and motivate a team of highly skilled data engineers to meet product development goals and timelines in a dynamic environment Specify and help to build the infrastructure and workflows required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ?big data? technologies. Optimize the design and implementation of analytics applications that utilize the data pipeline to provide actionable insights into key business performance metrics as specified by stakeholders. Ensure compliance with security requirements to keep sensitive data, including PHI and PII data separated and secure across clients. Work with data and analytics experts to strive for greater functionality in our data systems to help make us a market leader in big data. Qualifications: 3+ years of Experience as a lead on a data analytics engineering team 8+ years of Experience with frameworks such as .NET and .NET Core 6+ years of Experience using XML, JSON, EDI, or other data schema formats 5+ years of Experience with SSIS, SAS, Informatica or other ETL tools including building and optimizing big data pipelines and data sets 2+ years of Experience in the Azure Data Engineering environment using Databricks, Datalake, Azure Storage, etc. Expert in object oriented analysis, SOA, design patterns, development, implementation and maintenance Expert with relational databases (SQL Server preferred) and query languages such as SQL, T-SQL, Linq, etc. Very good knowledge of Microsoft development tools such as Languages like C#, Visual Basic .NET, F#, C++ .NET Web frameworks like ASP.NET, MVC 1-6, ASP.NET Web Api Messaging and data exchange using frameworks like WCF, ASP.NET WebApi ORM?s such as Entity Framework Expert in agile devops including continuous integration using tools like: Unit testing frameworks nUnit, SpecFlow, MSTest, xUnit Source code control using Git and GitFlow Code deployment using tools like TeamCity, Jira, etc. Agile team workflow using SAFe Excellent verbal and written communication skills Excellent customer service skills and a proven focus on results and delivery Experience in onshore/offshore mixed development team models
Reference : Data Engineering Lead jobs
from Latest listings added - JobsAggregation http://jobsaggregation.com/jobs/technology/data-engineering-lead_i8390
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Data Engineering Lead
Data Engineering Lead Location: Glen Allen, VA Duration: Long Term Description: Responsibilities: Lead a data engineering team to create and maintain optimal data pipeline architecture for enterprise big data and analytics in a cloud based big data environment Work with data architects, data analysts, and engineers to translate requirements into working big data designs and workflows Lead the Design and assembly of large, complex data sets that meet functional / non-functional business requirements. Conceive and implement internal process improvements in data analytics: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Mentor and motivate a team of highly skilled data engineers to meet product development goals and timelines in a dynamic environment Specify and help to build the infrastructure and workflows required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ?big data? technologies. Optimize the design and implementation of analytics applications that utilize the data pipeline to provide actionable insights into key business performance metrics as specified by stakeholders. Ensure compliance with security requirements to keep sensitive data, including PHI and PII data separated and secure across clients. Work with data and analytics experts to strive for greater functionality in our data systems to help make us a market leader in big data. Qualifications: 3+ years of Experience as a lead on a data analytics engineering team 8+ years of Experience with frameworks such as .NET and .NET Core 6+ years of Experience using XML, JSON, EDI, or other data schema formats 5+ years of Experience with SSIS, SAS, Informatica or other ETL tools including building and optimizing big data pipelines and data sets 2+ years of Experience in the Azure Data Engineering environment using Databricks, Datalake, Azure Storage, etc. Expert in object oriented analysis, SOA, design patterns, development, implementation and maintenance Expert with relational databases (SQL Server preferred) and query languages such as SQL, T-SQL, Linq, etc. Very good knowledge of Microsoft development tools such as Languages like C#, Visual Basic .NET, F#, C++ .NET Web frameworks like ASP.NET, MVC 1-6, ASP.NET Web Api Messaging and data exchange using frameworks like WCF, ASP.NET WebApi ORM?s such as Entity Framework Expert in agile devops including continuous integration using tools like: Unit testing frameworks nUnit, SpecFlow, MSTest, xUnit Source code control using Git and GitFlow Code deployment using tools like TeamCity, Jira, etc. Agile team workflow using SAFe Excellent verbal and written communication skills Excellent customer service skills and a proven focus on results and delivery Experience in onshore/offshore mixed development team models
Reference : Data Engineering Lead jobs
Source: http://jobrealtime.com/jobs/technology/data-engineering-lead_i8842
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