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DATA ENGINEER

São Paulo - São Paulo

Descrição da oferta de emprego

Data Engineer - As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data architecture. You will work closely with cross-functional teams to ensure the smooth flow of data and contribute to the overall success of our projects. Key Duties/Tasks: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Collaborate with data engineers, data consumers, and other team members to produce simple, functional, and elegant solutions that balance the data needs across the organization. Solve complex data problems to deliver insights that help the organization achieve its goals. Create data products that will be used throughout the organization. Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices. Develop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews, and code reviews. Technical Qualifications: 5+ years relevant and progressive data engineering experience. Deep technical knowledge and experience in Databricks, Python, Spark, Scala, AWS architecture and platform including Glue, Lambda pipelines, etc. Hands-on experience working with data pipelines using a variety of source and target locations (e. g. , Databricks, SQL Server, Data Lake, file-based, SQL and No-SQL database). Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes. Experience developing batch ETL pipelines; real-time pipelines are a must. Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data. Thorough knowledge of SQL Server including T-SQL and stored procedures. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. #J-18808-Ljbffr
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Detalhes da oferta

Empresa
  • Caderno Nacional
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 28/12/2024
Data de expiração
  • 28/03/2025
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