Big Data Consultant - Onsite

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Job description

Title: Big Data Consultant - Onsite
Location: Washington, DC, United States
Length: Long term
Restriction: w2 or c2c or 1099

Description:

W2 or 1099 or c2c webcam interview Long term project usually the project goes for multiple years with this customer. Onsite

IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort.

Job Description:

This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications. This is an exciting opportunity to work as a part of a collaborative senior data team supporting DCs Chief Data Officer. This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). The platform will be designed for District wide use and integration with other OCTO Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.

Responsibilities:

Coordinates IT project management, engineering, maintenance, QA, and risk management.
Plans, coordinates, and monitors project activities.
Develops technical applications to support users.
Develops, implements, maintains and enforces documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems.
Provides training for system products and procedures.
Performs application upgrades.
Performs, monitoring, maintenance, or reporting on real time databases, real time network and serial data communications, and real time graphics and logic applications.
Troubleshoots problems.
Ensures project life cycle is in compliance with District standards and procedures.

Required Skills:

Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes 5 Years
Knowledge of modern Big Data and Data Architecture and Implementation best practices 5 Years
Knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure 5 Years
Experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure 5 Years
Knowledge of Data centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle 5 Years
Experience querying structured and unstructured data sources including SQL and NoSQL databases 5 Years
Experience modeling and ingesting data into and between various data systems through the use of Data Pipelines 5 Years
Experience with API / Web Services (REST/SOAP) 3 Years
Experience with complex event processing and real time streaming data 3 Years
Experience with deployment and management of data science tools and modules such as JupyterHub 3 Years
Experience with ETL, data processing, analytics using languages such as Python, Java or R3Years
16+ yrs planning, coordinating, and monitoring project activities 16 Years
16+ yrs leading projects, ensuring they are in compliance with established standards/procedures 16 Years
Bachelors degree in IT or related field or equivalent experience

Highly Desired Skills:

Databricks Certified Data Engineer Professional
Experience with Cloudera Data Platform 3 Years

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