Home

Local to==Washington, DC =Big Data Architect: Hybrid Visa::USC, GC, H4 at Washington, DC, USA
Email: [email protected]
From:

nitu,

RCI

[email protected]

Reply to:   [email protected]

Job Title: Big Data Architect

Job Location: Washington, DC (4 days onsite a week) Need only Local

Duration:24+months

Work Auth: USC, GC, H4

Note: We are only considering local candidates, and those with relevant certifications are highly preferred.

About this Position / Responsibilities

Seeks a Big Data Architect to assist in supporting the design, development, implementation and maintenance of an enterprise Big Data solution as part of our client's Data Modernization Effort.

Requirements

Provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.

Architecture experience includes a Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory)

Working with Enterprise wide tools such as Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.

Develops, implements, maintains and enforces documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems

Performs, monitoring, maintenance, or reporting on real- time databases, real-time network and serial data communications, and real-time graphics and logic applications

Ensures project life-cycle is following our customer's standards and procedures

Qualifications

Skills

Required 5+ years experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes

Required 5+ years knowledge of modern Big Data and Data Architecture and Implementation best practices

Required 5+ years knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure

Required 5+ years experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure

Required 5+ years experience of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle

Required 5+ years experience querying structured and unstructured data sources including SQL and NoSQL databases

Required 5+ years experience modeling and ingesting data into and between various data systems through the use of Data Pipelines

Required 3+ years experience with API / Web Services (REST/SOAP)

Required 3+ years experience with complex event processing and real-time streaming data

Required 3+ years experience with deployment and management of data science tools and modules such as JupyterHub

Required 3+ years experience with ETL, data processing, analytics using languages such as Python, Java or R

Required 16+ years experience planning, coordinating, and monitoring project activities

Required 16+ years experience leading projects, ensuring they are in compliance with established standards/procedures

Highly Desired Databricks Certified Data Engineer Professional

Highly desired 3+ years experience with Cloudera Data Platform

Bachelors degree in IT or related field or equivalent experience

Keywords: rlang information technology green card
Local to==Washington, DC =Big Data Architect: Hybrid Visa::USC, GC, H4
[email protected]
[email protected]
View all
Tue Sep 17 01:36:00 UTC 2024

To remove this job post send "job_kill 1754507" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]
Time Taken: 18

Location: Washington, DC