Senior Big Data Developer - iQuasar
Washington, DC
About the Job
General Experience:
Ability to engage stakeholders, understand their needs, and then translate those needs into a minimum viable product.
Ability to translate analytic insights into concrete, actionable recommendations.
A collaborative, analytical thinker with outstanding written and oral communication skills and problem-solving capabilities, with a high attention to detail.
Detail-oriented, self-starter with excellent time management skills.
Ability to work well within cross-functional teams composed of business and technical team members.
Ability to work well under pressure.
Proficient using Office 365, SharePoint Online, SharePoint, and Visio.
Understanding of Federal Information Security regulations, standards, and practices such as the Federal Information Security Management Act (FISMA).
Understanding of Information Privacy concepts and best practices.
Understanding of Information Security and Compliance and Privacy concepts related to the handling of sensitive information.
BSc/BA in computer science, economics, mathematics, or relevant field or equivalent experience required
Mandatory Experience:
At least ten years' demonstrated experience developing software according to software development lifecycles (SDLCs), including DevOps, Agile, Lean, Iterative, or Waterfall.\
Demonstrated understanding of Big Data architecture, design patterns, and repositories such as data lakes and data warehouses.
In-depth understanding of developing against Big Data technology stacks.
In-depth understanding of how to optimize automated ETL processes when working with large structured and unstructured data sets (TBs+ range).
At least ten years' demonstrated experience with:
Object-oriented programming languages and frameworks such as C#, Java, Python, Scala, .NET, Spark, Spring, or Hibernate.
Scripting languages such as JavaScript, Node.JS, or Shell script.
Developing automated extract, transform and load (ETL) and extract, load, and transform (ELT) processes using major tools such as Informatica PowerCenter, Apache NiFi, Data Oracle Integrator, Microsoft SQL Server Integrated Services (SSIS), IBM Infosphere Information Server, or SAP BusinessObjects Data Integrator.
At least ten years of demonstrated experience with relational databases such as Microsoft SQL Server or Oracle, and NoSQL databases such as MongoDB, CouchDB, HBase, Cosmos DB, Oracle NoSQL Database, or Cassandra DB.
Ability to engage stakeholders, understand their needs, and then translate those needs into a minimum viable product.
Ability to translate analytic insights into concrete, actionable recommendations.
A collaborative, analytical thinker with outstanding written and oral communication skills and problem-solving capabilities, with a high attention to detail.
Detail-oriented, self-starter with excellent time management skills.
Ability to work well within cross-functional teams composed of business and technical team members.
Ability to work well under pressure.
Proficient using Office 365, SharePoint Online, SharePoint, and Visio.
Understanding of Federal Information Security regulations, standards, and practices such as the Federal Information Security Management Act (FISMA).
Understanding of Information Privacy concepts and best practices.
Understanding of Information Security and Compliance and Privacy concepts related to the handling of sensitive information.
BSc/BA in computer science, economics, mathematics, or relevant field or equivalent experience required
Mandatory Experience:
At least ten years' demonstrated experience developing software according to software development lifecycles (SDLCs), including DevOps, Agile, Lean, Iterative, or Waterfall.\
Demonstrated understanding of Big Data architecture, design patterns, and repositories such as data lakes and data warehouses.
In-depth understanding of developing against Big Data technology stacks.
In-depth understanding of how to optimize automated ETL processes when working with large structured and unstructured data sets (TBs+ range).
At least ten years' demonstrated experience with:
Object-oriented programming languages and frameworks such as C#, Java, Python, Scala, .NET, Spark, Spring, or Hibernate.
Scripting languages such as JavaScript, Node.JS, or Shell script.
Developing automated extract, transform and load (ETL) and extract, load, and transform (ELT) processes using major tools such as Informatica PowerCenter, Apache NiFi, Data Oracle Integrator, Microsoft SQL Server Integrated Services (SSIS), IBM Infosphere Information Server, or SAP BusinessObjects Data Integrator.
At least ten years of demonstrated experience with relational databases such as Microsoft SQL Server or Oracle, and NoSQL databases such as MongoDB, CouchDB, HBase, Cosmos DB, Oracle NoSQL Database, or Cassandra DB.
Source : iQuasar
