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Please find the job description given below and let me know your interest.
Position: Big Data Architect with Databricks Certified Data Engineer Professional Location: Washington, D.C (Hybrid)----Need Locals Only Duration: 6+ Months Job Description:
About Job:
We are seeking a highly experienced Big Data Architect to support the design, development, and maintenance of an enterprise Big Data solution as part of our client's Data Modernization Effort. You should have 16+ years of experience in planning, coordinating, and monitoring project activities, with 5+ years specifically in modern Big Data platforms, cloud services like Microsoft Azure, and data tools such as Tableau or Kibana. Strong skills in SQL/NoSQL databases, data pipelines, and real-time data processing are essential. A Databricks certification and experience with Cloudera Data Platform are highly desired.
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 an 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 in compliance with our customer's standards and procedures
Qualifications
Skills
- Required 5+ years' xperience 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
Bachelor's degree in IT or related field or equivalent experience
Please share your updated resume and suggest the best number & time to connect with you
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| | | Raveena Mourya
US IT Recruiter, DMS Visions Inc | | | |