Data Engineer (Data Bricks and AWS Cloud)

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    "description_html": "<p><strong>NOTE</strong>: &nbsp;&nbsp;This opportunity is open to W2, 1099 or C2C (no third parties, please). The candidate<strong> MUST </strong>be authorized to work in the U.S. without sponsorship and able to complete/pass/hold at minimum a public trust investigation. This is a remote opportunity; candidate must be based in the U.S.; have resided in the US for at least 3 years in the past 5 years; ET time zone work schedule.</p><p><br></p><p><strong>Daily Responsibilities</strong></p><ul><li>Play a critical role in ingesting, transforming, and managing data using AWS Cloud Services and Python Programming. &nbsp;&nbsp;Will work directly with senior data engineers o product owners to deliver data products in a collaborative and agile environment.&nbsp;</li><li>Able to integrate code into a cloud production environment.&nbsp;</li><li>Work with on-prem database and warehouse solutions such as Oracle or SQL Server or cloud based solutions.&nbsp;</li><li>Collaborate on data engineering coding principles, standards, designs, frameworks, and chaos testing.&nbsp;</li><li>Develop data engineering solutions using Python and/or Java.&nbsp;</li><li>Seek to continuously develop deep AWS engineering skills that optimize code quality and performance.&nbsp;</li><li>Build data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data.&nbsp;</li><li>Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. &nbsp;</li><li>Integrate data from disparate sources to enable seamless data access and analysis within the data management environment.&nbsp;</li><li>Design and maintain data models within and implement data quality checks and validation processes to ensure data accuracy and integrity.&nbsp;</li><li>Ensure data security and compliance with government regulations and industry standards.&nbsp;</li><li>Optimize data pipelines and queries for efficient data processing and retrieval.&nbsp;</li><li>Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.&nbsp;</li><li>Participate in Agile development sprints including design, development, unit testing and peer review. &nbsp;</li><li>Prepare comprehensive documentation for data pipelines, data models, and data processes.&nbsp;</li></ul>",
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