Lead Consultant, Data Engineer

🕒 Julho 27

🌽 Illinois, Virginia – Remoto

infoinfo

💵 $120.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 33%

infoinfo

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Lovelytics

501 - 1000 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

💰 Series unknown em 2023-07

Consulting • Artificial Intelligence • Enterprise

A Lovelytics é uma consultoria de dados e IA que ajuda grandes empresas a transformar iniciativas de dados e IA em resultados de negócios mensuráveis. Focada 100% em dados e IA, a empresa oferece serviços que incluem estratégia e consultoria de dados, engenharia de dados, governança de dados e migrações, análises e visualização, IA generativa e ML (incluindo LLMOps e MLOps), e migração/modernização para a nuvem. A Lovelytics trabalha com clientes da Fortune 500 em setores como energia e utilidades, varejo/CPG e viagens, manufatura, saúde e ciências da vida, comunicações/mídia/entretenimento e jogos, e serviços financeiros, e faz parcerias com grandes fornecedores de plataformas como Databricks, AWS, Microsoft Azure, Google Cloud e Anthropic.

Descrição

• Utilize consulting and technical skills to be able to work in a client-facing project environment independently. • Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead. • Collaborate with other team members to successfully deliver on projects. • Work effectively and directly communicate with both internal and client and/or partner teams. • Develop full ownership of your execution on client engagements, you'll become involved in the project planning and solution stages of engagements as well. • Design and implement complex ETL/ELT pipelines with evidence of improved data processing times. • Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead. • Contribute to real-time data processing solutions and managed streaming data. • Implement security and compliance measures for data pipelines. • Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.

🎯 Requisitos

• B.S. in Computer Science or equivalent • 3-5 years' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders. • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks *A must* • Data modeling and database design skills and knowledge of version control • Excellent verbal and written communication skills • Is able to apply technical skills to engagement needs • Works with engagement leads and directors to gain exposure in the design and architecture of solutions • Understands and utilizes Lovelytics tools and client tools

🏖️ Benefícios

• Exciting projects with great clients in varying departments and verticals across the world • The ability to work closely with experienced data engineers and quickly grow and expand your skillset • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

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