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Big Data Engineer : remote : 10+ year experience at Remote, Remote, USA
Email: [email protected]
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https://jobs.nvoids.com/job_details.jsp?id=224610&uid=

From:

Khushboo Chaudhary,

Global Opine

[email protected]

Reply to:   [email protected]

Hi,

Hope its a great day

This is Khushboo , from Global Opine. Below is the new job opportunity available with one of our clients, if you are interested then send your resume along with your expected pay rate.

Please find the below job role and let me know your interest on the same

Job Title: Sr. Big Data Engineer

Location: Remote

Duration:  12 + Months

******Clients are looking for Lead 10+ years experience & only USC/GC consultants.

Job Description:

 Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms

             Define high-level migration plans to address the gaps between the current and future state

             Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions

             Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement

             Interpreting data, analyzing results using statistical techniques

             Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality

             Acquiring data from primary or secondary data sources and maintaining databases

             Promote the reuse of data assets, including the management of the data catalog for reference

Minimum Position Qualifications:

             Extensive knowledge of data principles, patterns, processes, and practices

             Any experience defining evolutionary data solutions and underlying technologies

             Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

             Experience with SQL database design, data modeling

             Analyze and organize raw data 

             Build data systems and pipelines

             Evaluate business needs and objectives

             Interpret trends and patterns

             Conduct complex data analysis and report on results 

             Demonstrated written and oral communication skills

             Basic understanding of network and data security architecture

             Strong knowledge of industry trends

             Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management

             Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory, Azure Synapse and Databricks Platforms.

             Experience with SQL and NoSQL applications on Big Data Platforms

             Experience with SSAS Tabular models, Power BI, Dataflows and DAX

             Experience with Azure Data Platform stack: Azure Data Lake, Azure Synapse, Data Factory and Databricks

             Experience with Python, Spark and SQL

             Any experience with streaming technologies like Kafka, IBM MQ and EventHub

Desired Previous Experience/Education:

             Any experience with operational data science, machine learning or artificial intelligence solutions

             Any experience with data science solutions or platforms

             Data engineering certification (e.g IBM Certified Data Engineer) is a plus

             Any experience with data science solutions or platforms

             Any experience with a variety of SQL, NoSQL and Big Data Platforms

             Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform).

Thanks & Regards

Khushboo Chaudhary

Technical Recruiting

Global Opine Research LLC

Phone :

Email : [email protected]

Keywords: message queue business intelligence information technology
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=224610&uid=
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02:43 PM 21-Dec-22


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