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ARMENHYL GROUP LLC 1806 Summit Avenue, Suite 300, Richmond, VA 23230 (804) 223-0734 Private Process Servers for the Richmond VA Metro Areas: 22427 Bowling Green 22514 Milford 22535 Port Royal 22538 Rappahannock Academy 22546 Ruther Glen 22580 Woodford 23002 Amelia Court House 23005 Ashland 23009 Aylett  23011 Barhamsville 23015 Beaverdam 23030 Charles City 23038 Columbia 23039 Crozier 23047 Doswell 23059 Glen Allen 23060 Glen Allen 23063 Goochland 23065 Gum Spring 23069 Hanover 23075 Highland Springs 23083 Jetersville 23086 King William 23089 Lanexa 23102 Maidens 23103 Manakin Sabot 23106 Manquin 23111 Mechanicsville 23112 Midlothian 23113 Midlothian 23114 Midlothian 23116 Mechanicsville 23120 Moseley 23124 New Kent 23129 Oilville 23139 Powhatan 23140 Providence Forge 23141 Quinton 23146 Rockville 23150 Sandston 23153 Sandy Hook 23160 State Farm 23173 Richmond 23181 West Point 23192 Montpelier 23219 Richmond 23220 Richmond 23221 Richmond 23222 Richmond 23223 Richmond 23224 Richmond 23225 Richmond 23226 Richmond 23227 Richmond 23228 Laurel 23229 Tuckahoe 23230 Richmond 23231 Richmond 23233 Short Pump 23234 Meadowbrook 23235 Bon Air 23236 Richmond 23237 Richmond 23238 Richmond 23250 Richmond 23294 Richmond 23801 Fort Lee 23803 Petersburg 23805 Petersburg 23806 Ettrick 23830 Carson 23831 Chester 23832 Chesterfield 23833 Church Road 23834 Colonial Heights 23836 Chester 23838 Chesterfield 23840 DeWitt 23841 Dinwiddie 23842 Disputanta 23850 Ford 23860 Hopewell 23872 Mc Kenney 23875 Prince George 23882 Stony Creek 23884 Sussex 23885 Sutherland 23888 Wakefield 23890 Waverly 23891 Waverly 23894 Wilsons 23897 Yale.
Same Day Process Service Available! We serve now! Member of NAPPS and PIAVA We are ready to Notarize now www.armenhyl.com ARMENHYL GROUP LLC’s Virginia Process Servers are Reliabl & Professional. ARMENHYL GROUP LLC offers Virginia Process Service throughout the Commonwealth of Virginia and Nationwide. (866) ARMENHYL (866) 276-3649
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cvwing1 · 5 years
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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 - cvwing http://cvwing.com/jobs/technology/data-engineering-lead_i12122
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linkhellojobs · 5 years
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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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linkhello1 · 5 years
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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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[ www.armenhyl.com ] Happy Holidays from ARMENHYL GROUP LLC!!!
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https://lnkd.in/dds9nZQ - Watch Our Nationwide Process Service Video!
(866) ARMENHYL (866) 276-3649 [ [email protected] ] VA DCJS #11-16658
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ARMENHYL wants to know...
WHO has Service of Process which needs to be dispatched today, this week or in July?
WHAT will it take to earn your business?
WHERE do your documents need to go?
WHEN does your assignment need to be completed?
HOW can we make your work easier?
WHY haven’t you contacted us yet?
Whether in your town, in another part of your state or clear across the country! Assign your Service of Process to ARMENHYL!
[email protected] - www.armenhyl.com (866) ARMENHYL (866) 276-3649
Need to send out a Service of Process? Don’t have a regular process service?
Is your firm unhappy with your current process server?
Tired of waiting several weeks for the Sheriff to attempt to serve your papers?
Partner with ARMENHYL to meet your firm’s Civil Process needs! ARMENHYL is your
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ARMENHYL GROUP LLC 1806 Summit Avenue, Suite 300, Richmond, VA 23230 (804) 223-0734 Private Process Servers for the Richmond VA Metro Areas: 22427 Bowling Green 22514 Milford 22535 Port Royal 22538 Rappahannock Academy 22546 Ruther Glen 22580 Woodford 23002 Amelia Court House 23005 Ashland 23009 Aylett 23011 Barhamsville 23015 Beaverdam 23030 Charles City 23038 Columbia 23039 Crozier 23047 Doswell 23059 Glen Allen 23060 Glen Allen 23063 Goochland 23065 Gum Spring 23069 Hanover 23075 Highland Springs 23083 Jetersville 23086 King William 23089 Lanexa 23102 Maidens 23103 Manakin Sabot 23106 Manquin 23111 Mechanicsville 23112 Midlothian 23113 Midlothian 23114 Midlothian 23116 Mechanicsville 23120 Moseley 23124 New Kent 23129 Oilville 23139 Powhatan 23140 Providence Forge 23141 Quinton 23146 Rockville 23150 Sandston 23153 Sandy Hook 23160 State Farm 23173 Richmond 23181 West Point 23192 Montpelier 23219 Richmond 23220 Richmond 23221 Richmond 23222 Richmond 23223 Richmond 23224 Richmond 23225 Richmond 23226 Richmond 23227 Richmond 23228 Laurel 23229 Tuckahoe 23230 Richmond 23231 Richmond 23233 Short Pump 23234 Meadowbrook 23235 Bon Air 23236 Richmond 23237 Richmond 23238 Richmond 23250 Richmond 23294 Richmond 23801 Fort Lee 23803 Petersburg 23805 Petersburg 23806 Ettrick 23830 Carson 23831 Chester 23832 Chesterfield 23833 Church Road 23834 Colonial Heights 23836 Chester 23838 Chesterfield 23840 DeWitt 23841 Dinwiddie 23842 Disputanta 23850 Ford 23860 Hopewell 23872 Mc Kenney 23875 Prince George 23882 Stony Creek 23884 Sussex 23885 Sutherland 23888 Wakefield 23890 Waverly 23891 Waverly 23894 Wilsons 23897 Yale Same Day Process Service Available We Serve Now Member of NAPPS and PIAVA We are ready to Notarize now www.armenhyl.com ARMENHYL GROUP LLC Virginia Process Server Virginia Process Service Commonwealth of Virginia (866) ARMENHYL (866) 276-3649 ARMENHYL GROUP LLC
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jobsaggregation2 · 5 years
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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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nox-lathiaen · 5 years
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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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