Avenue Code

Position

DataOps

Brazil

6271712d9db241345e37ffd4
Sobre a empresa:

Avenue Code é uma empresa de consultoria de e-commerce com sede em São Francisco, com três escritórios adicionais no Brasil (Porto Alegre, Belo Horizonte e São Paulo). Nós somos uma empresa 100% financiada com capital privado, rentável, e têm sido uma trajetória de crescimento sólido por vários anos. Nós nos preocupamos profundamente com nossos clientes, nossos parceiros e nossos consultores. Preferimos a palavra “parceiro” ao “fornecedor”, e nosso investimento em relacionamentos profissionais é um reflexo dessa filosofia. Orgulhamo-nos da nossa perspicácia técnica, da nossa capacidade colaborativa de resolução de problemas e do calor e profissionalismo dos nossos consultores.

About the opportunity:

We are looking for DataOps Engineers with a passion to learn new skills and who are interested in advancement. The Labeling and Geospatial support engineer works in an agile environment interacting with multiple analytic and technology teams to support the Advanced Analytics platforms critical for supporting Data Science. The candidate will have a focus on technical responsibilities to aid the data science and analytic teams to leverage internal tooling and data assets to produce business insights, gain deeper understanding and anticipation of end-user data science needs and identify and enhance tactical and strategic decision making. The engineer will be responsible to collaborate with data science and analytic users to automate, simplify and strategize approaches to develop next generation analytics platforms. This position requires a technical background with familiarity of the business aspects of Data Science and business analytics. Effective communication and team spirit are important as this individual will be interfacing with different areas including business clients, technology, architecture, and infrastructure services.

Responsibilities:

– Collaborate with Data Science and Analytics groups to develop, implement and maintain platforms and custom tooling to support the company’s data acceleration program.

– Work with internal teams, end-users and vendors to identify and recommend possible solutions and workarounds to technical scenarios with a focus on automation. Diagnose, correct, and explain software and hardware issues that affect vended, internal, and open-source software products with a concentration on root cause elimination.

– Hands on approach to learn and use new technologies and methodologies across a wide variety of tools and languages to support and develop analytical platforms (Python and Java, Scala, Spark, R, SQL).

– Demonstrate a high degree of analytic agility to meet fluid and dynamic business needs in an agile environment working individually as well as in groups.

– Discipline to produce consumable documentation as required Flexibility to perform additional tasks and duties outside of normal daily activities.

– Demonstrate technical leadership and provide consultation outside of the immediate team

Required Qualifications:

– Relevant experience in a technical support software/application environment troubleshooting software applications.

– 4-6 years of Linux administration (Redhat, Suse) experience

– 4-6 years of experience in DevOps (Jenkins, Python, Ansible, Docker, Kubernetes etc)

– Python development.

– Spark Scripting/Automation knowledge of another programming language (Spark).

– Strong analytical and troubleshooting skills.

Nice to Have:

– AWS Cloud

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