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Senior Big Data Engineer-Must have 12+ years profiles only and Only USC or GC at Remote, Remote, USA
Email: [email protected]
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From:

bhavna pal,

Largeton.inc

[email protected]

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Role: Senior Big Data Engineer-Must have 12+ years profiles only and Only USC or GC

Location: 100% Remote

Visa : No USG/GC

Duration: Long Term

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).

Bhavna Pal | Technical Recruiter

Email: [email protected]

LARGETON INC.

Keywords: message queue business intelligence
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12:40 PM 17-Dec-22


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