You will lead a team of highly skilled engineers maintaining and automating a vast cloud-Based computing environment supporting signifyds decision platform. The candidate will collaborate with development teams and fellow cloud infrastructure engineers to address critical issues. Proficiency in cloud technologies, containers, kubernetes, networking, security, scripting, automation, and platform engineering, ensuring seamless system operations. The candidate should possess strong technical aptitude, software development skills, analytical and communication skills, and exceptional problem-Solving ability.
(informação confidencial)
We are seeking a highly skilled and experienced senior data platform engineer to join our dynamic and growing team. In this role, you will be instrumental in developing and maintaining our data infrastructure, ensuring the efficient handling of large-Scale data processing and storage. You will collaborate with cross-Functional teams to support data-Driven decisions and contribute to our overall data strategy. The ideal candidate must:
Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely.
Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
Have the ability to work independently in a dynamic environment and have a proactive approach to problem-Solving.
Is committed to driving positive business outcomes through expert data handling and analysis.
Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
Have strong analytical and problem-Solving skills, with the ability to innovate and adapt to fast-Paced environments.
Design, build and clear, understandable, simple, clean, and scalable solutions.
Local
Remoto
Requisitos
At least 5+ years of experience in data engineering, with 3+ years in a senior role, working on complex engineering projects across team boundaries.
Strong programming skills in python, java, scala, or similar languages.
Fluency in english. You should be able to communicate effectively through both spoken and written means.
Hands-On experience building scalable data platforms and reliable data pipelines using technologies like spark, hadoop, databricks, aws sqs, aws kinesis, kafka, etc.
Comfort with modern back-End systems building blocks, event-Driven architecture, and the ability to articulate the pros/cons of different approaches with recommended solutions.
Deep understanding of data processing, comfortable working with multi-Terabyte datasets, and skilled in high-Scale data ingestion, transformation, and distributed processing.
Experience with the latest technologies and trends in data and cloud platforms.
Familiarity with databases and analytics technologies in the industry, including data warehousing, data lakes, etl, and relational databases.
Commitment to quality, you take pride in delivering work that excels in data accuracy, performance, and reliability, setting a high standard for the team and the organization.
Benefícios
Refeição/alimentação
Seguro de vida
Plano de saúde
Plano odontologico
Notebook ou macbook
Jornada de 4 dias de trabalho
Contratação
Clt.
(informação confidencial)
(informação confidencial)
Nível
Sênior
Regime
Clt
Alocação
Remoto.
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