
10,000+ employees
⥠Energy
Construction ⢠Energy ⢠Transportation
VINCI is a global leader in concessions, energy, and construction, dedicated to contributing to the public good. With a workforce of 280,000 employees across more than 120 countries, VINCI focuses on sustainable mobility, renewable energy, and responsible living environments. The company emphasizes innovation and collaboration to actively engage in the energy transition and enhance infrastructure for the benefit of communities and the environment.
đ May 19
đ¤ Texas â Remote
đľ $135k - $160k / year
â° Full Time
đ Senior
đ° Data Engineer
đŚ H1B Visa Sponsor
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10,000+ employees
⥠Energy
Construction ⢠Energy ⢠Transportation
VINCI is a global leader in concessions, energy, and construction, dedicated to contributing to the public good. With a workforce of 280,000 employees across more than 120 countries, VINCI focuses on sustainable mobility, renewable energy, and responsible living environments. The company emphasizes innovation and collaboration to actively engage in the energy transition and enhance infrastructure for the benefit of communities and the environment.
⢠Collaborate with and support cross-functional teams to ensure accurate and efficient data flow across systems ⢠Defines architectural strategy across programs or domains ⢠Leads architecture for large, complex or cross-domain solutions ⢠Develop, integrate, test, deploy and maintain scalable ETL pipelines and workflows ⢠Integrate data utilizing industry standard file formats ⢠Use database design and development best practices to design and maintain robust database systems ⢠Assemble large, complex data sets that meet functional / non-functional business requirements ⢠Identify, design, and implement internal process improvements ⢠Develop and perform unit tests; maintain up-to-date code in source control ⢠Collaborate on code reviews and adhere to change management processes ⢠Troubleshoot issues reported by users and perform root cause analysis ⢠Document ETL processes, data flows, and system integrations ⢠Use Agile best practices to enhance team efficiency and product delivery ⢠Continuously learn about the business and the data that supports it
⢠8+ years of experience in a Lead Data Engineer, Data Engineer, and/or Data Architect role ⢠Experience one or more Data Architecture Domains: BI Architect, Analytics Architect, Data Architect, Data Integration/ETL Architect, Data Governance Architect, and/or Cloud Architect ⢠Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or relevant technical degree ⢠Strong knowledge of data warehouse and lakehouse concepts ⢠Strong analytic skills related to working with structured, semi-structured, and unstructured datasets ⢠Experience with cloud migration ⢠Experience with cloud data platforms like Microsoft Azure, Microsoft Fabric, AWS, Google Cloud Platform, and Snowflake ⢠Proficient with building ETL processes using SSMS, SSIS, Azure Data Factory, and Fabric Data Factory ⢠Proficient with SQL, Spark SQL, PySpark, and Python ⢠Proficient in T-SQL, Stored Procedures, and Functions using REST APIs ⢠Experience performing ad-hoc and root cause analysis on internal and external data
⢠Comprehensive medical, dental, and vision coverage ⢠Contributions to a Health Savings Account (HSA) ⢠Access to an Employee Assistance Program (EAP) ⢠401(k) program featuring a Safe Harbor Match ⢠Accrued time off, company holidays, sick time, and 3 floating holidays ⢠12-week Paid Parental Leave ⢠Market-driven salary and bonus opportunities ⢠Robust tech package designed to help you deliver your best
Apply Nowđ May 19
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