Data Engineer
$150k - $155kVenture Global LLC
Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Data Engineer
Located:
Arlington
Summary
- Build complex data solutions in an Azure Cloud environment.
- Maintain the Azure components and services.
- Develop architecture changes using infrastructure as code.
- Create data architectures diagrams for complex data modeling solutions.
- Create and maintain data dictionaries for contextualizing data from disparate sources.
- Enable end-to-end automation for deployment using continuous integration and continuous delivery.
- Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
- Perform unit and integration testing of data pipelines.
- Perform data integration at scale with Azure Data Factory.
- Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
- Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
- Document data pipelines for maintainability.
- Work with source system owners and business owners to incorporate business changes into data pipelines.
- Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
- Assist in testing, governance, data quality, training, and documentation efforts.
- Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.
- Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
- 2+ years in cloud architecture and data engineering
- Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
- Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
- Understanding of parallel processing and data architecture patterns.
- Knowledgeable in data processing languages such as SQL, Python, or Spark.
- Experience in building secure data processing pipelines using Azure data services.
- Ability to self-manage and make your own decisions.
- Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
- Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
- Excellent attention to detail and the ability to efficiently summarize and prioritize information.
- Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
- Experience in coding languages primarily Python and Spark. Experience in agile development and sprint planning. Strong technical writing skills.
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