Developer-Full Stack Senior

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 day((s))

Skills

Java
Spring boot
Collibra
XML
json
REST API
Data Architecture
PostGreSQL
Data Analysis
Data Warehouse
JDBC
Mongo
T-SQL
data lake
tools
Qualifications: Bachelors degree in computer science
information technology or related field; advanced studies/degree preferred. 5 years extensive knowledge and experience in the Data technologies for Data Analytics
Data Lake/Mart/Warehouse
Databases SQL/NoSQL (DB2
Postgres)
Big Data Technologies (Spark or PySpark)
ETL (Informatica
Talend)
Integration/EAI technologies like Informatica 3+ years experience with Technologies including Web Service API
Python. 3+ years working with SaaS platforms such as Snowflake
Mongo/MongoDB Atlas
Knowledge of enterprise data models
information classification
meta-data models
taxonomies and ontologies. Exposure to Full stack enterprise application development(Agular
Automation testing using Selenium) 5-7 years experience in a logical/physical data modeling
and data management role Experience with different query languages such as PL/SQL
and ANSI SQL Experience with database technologies such as DB2
Snowflake Knowledge of data warehousing and business intelligence concepts including data mesh
data fabric
and data marts Keys to Success in this Role: Ability to operate as a self-motivated
pro-active
and result-driven problem solver with excellent analytical and interpersonal skills Quick learner of new technologies
concepts and ability to translate them to action. Excellent problem-solving skills and attention to detail Effective communication and interpersonal skills Ability to work independently and in a team environment Thank you in advance for your attentio

Job Details

Job Title: Developer-Full Stack Senior
Location: McLean, VA (Onsite)
Duration: 6 Months
NOTE:
  • Locals Only
  • Must be available for in-person interview
Job Description:
The Senior Developer will be part of the client's Enterprise Risk Business Technology Office. This role will be responsible for supporting our organization's data-driven initiatives, specifically designing and building a data warehouse solution. This position requires strong experience in data analysis, modeling and engineering with the ability to translate complex technical issues into easily understood communications that will influence executive audiences with varied technical backgrounds and capabilities.
Qualifications:
  • Bachelor's degree in computer science, information technology or related field; advanced studies/degree preferred.
  • 5 years' extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake/Mart/Warehouse, Databases SQL/NoSQL (DB2, Mongo, Postgres), Big Data Technologies (Spark or PySpark), ETL (Informatica, Talend), REST API, Integration/EAI technologies like Informatica
  • 3+ years' experience with Technologies including Web Service API, XML, JSON, JDBC, Java, Python.
  • 3+ years working with SaaS platforms such as Snowflake, Collibra, Mongo/MongoDB Atlas,
  • Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies.
  • Exposure to Full stack enterprise application development(Agular, Spring Boot, Automation testing using Selenium)
  • 5-7 years' experience in a logical/physical data modeling, data architecture, data analysis, and data management role
  • Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL
  • Experience with database technologies such as DB2, PostgreSQL, Snowflake
  • Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts
Keys to Success in this Role:
  • Ability to operate as a self-motivated, pro-active, and result-driven problem solver with excellent analytical and interpersonal skills
  • Quick learner of new technologies, tools, concepts and ability to translate them to action.
  • Excellent problem-solving skills and attention to detail
  • Effective communication and interpersonal skills
  • Ability to work independently and in a team environment
  • Thank you in advance for your attention and continued support.
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