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Sr. Azure Data Engineer - 14+ years exp. must - Remote - No H1B, No CPT & No TN at Remote, Remote, USA
Email: [email protected]
From:

Deepshikha Dixit,

DRK America LLC

[email protected]

Reply to:   [email protected]

Hi,

Hope you are doing great!!

Please let me know your interest in the below role-

Sr. Azure Data Engineer

100% Remote

Long Term contract

Visa: No H1B, No CPT & No TN

Video Interviews

Rate: $60/hr. C2C Max

Top Skills: overall 14+ years of experience required, Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Azure Analysis Services, Azure DevOps; ETL

Experience working in ETL process for at least years

Experience developing ETL process using Azure ETL tools for at least 4 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 Event Hub, Data Factory, Databricks, Stream Analytics, Apache Spark, Python

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

Thanks & Regards,

Deepshikha Dixit | Lead HR

DRK America LLC |Naperville, IL 60563

[email protected]

Keywords: continuous integration continuous deployment trade national Illinois Tennessee
[email protected]
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Fri Feb 09 06:57:00 UTC 2024

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