Data Engineer

Venture Global LNG is hiring a Data Engineer to develop, design, and maintain data platform solutions. The role builds and operates Azure-based data architecture and pipelines, supporting business intelligence, analytics, governance, and future platform growth.

Responsibilities

• 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

Skills

• 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

Company Overview

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