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Sr. Azure Data Engineer- US Remote - EST/ CST time zone at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2042065&uid=

Position: Sr. Azure Data Engineer
Location:  US Remote - EST/ CST time zone
Duration: Long term contract   

Healthcare Experience is Mandatory

Need Consultants with 12+years of experience

Skills

Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python, Azure Analysis Services, Azure DevOps

       Experience working in
ETL process for at least 8 years

       Experience developing ETL process using
Azure ETL tools for at least 5 years

Qualifications

       Bachelors degree in information systems, Computer Science, Engineering, or related field

       Proficient in designing and implementing data sourcing and transformation processes (ETL) in a large, distributed environment using cloud services e.g., Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python, Azure Analysis Services and Azure DevOps

       Hands-on experience with developing complex ETL pipelines that ingest and transform data from various source systems into Azure cloud operational databases and data warehouse environment

       Proficient in developing and operationalizing various data distribution patterns such as APIs, event based, publish/subscribe models

       Well versed with data models, source target definitions, identify/fixing discrepancies adhering to enterprise data governance standards

       Adept with Azure DevOps-CI/CD (Continuous Integration and Continuous Deployment) and Test-Driven Development practices

       Design, develop and implement scalable batch /real-time data pipelines to integrate data from a variety of sources into an Azure database / data warehouse and data lake

       Experience migrating data lakes from on-premises to cloud

       Experience with agile delivery using Azure DevOps

       Experience monitoring performance of data workflows and infrastructure through use of monitoring tools and enabling alerts

       Functional knowledge of data visualization tools

Responsibilities

       Design and implement data frameworks and pipelines to process data from on-premises and cloud data sources to feed into the Azure Cloud, monitor data quality and implement related controls

       Evaluate existing designs, improve methods, and implement optimizations

       Analyze and validate data sharing requirements within and outside data partners

       Analyze and interpret collected data; identifying trends; writing reports and recommendations for internal or external clients

       Use statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events

       Work with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drive business objectives

       Prepare project deliverables that are valued by the business and present them in such a manner that they are readily understood by project stakeholders

       Prepare advanced project implementation plans using Agile methodologies, which highlight milestones and deliverables, leveraging standards, practices, and work planning tools

       Recognize potential issues and risks during the analytics project implementation and recommend mitigation strategies

       Document best practices for data analysis, data engineering, and evangelize their usages

       Work with stakeholders, including the executives as well as product engineering teams to assist with data-related technical issues and support their data infrastructure needs

       Create data tools for data scientist team to assist them in building and optimizing our product into an innovative industry leader

       Work with data and analytics experts to strive for greater functionality in our data capabilities

       Experience in offshore/ onsite coordination

Best Regards

Abhinav B | Recruiter

Tech Rakers Inc


[email protected]

Tel: 337-514-4260

1602 W Pin hook Rd, Suite 202-B, Lafayette, LA  70508

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Keywords: continuous integration continuous deployment information technology Louisiana
Sr. Azure Data Engineer- US Remote - EST/ CST time zone
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2042065&uid=
[email protected]
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09:03 PM 27-Dec-24


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