Vaga de parceiro

Data Engineer - Montenegro / RS

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • S.
  • companies.
  • We specialize in sourcing skilled professionals, conducting rigorous screening and technical assessments, and preparing candidates for opportunities in the U.
  • S.
  • job market.
  • Our mission is to bridge the gap between exceptional talent and top-tier businesses, ensuring the right fit for both candidates and clients.
  • With a focus on quality, efficiency, and innovation, we help professionals unlock their potential and secure rewarding careers with prestigious U.
  • S.
  • organizations.
  • At Luxe Vision Consulting, we believe in integrity, excellence, and results-driven recruitment.
  • Whether you're a company looking for the best talent or a professional seeking your next big opportunity, we are committed to making the connection that drives success.
  • The Role Job Description: We are looking for a skilled Data Engineer to join our team.
  • The ideal candidate will have strong experience in designing, building, and maintaining scalable data pipelines and architectures.
  • You will play a critical role in managing data workflows, ensuring data integrity, and optimizing data processing.
  • Responsibilities: Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to process and transform large datasets.
  • ETL & Data Integration: Develop and optimize ETL (Extract, Transform, Load) workflows for structured and unstructured data sources.
  • Big Data Processing: Work with PySpark and Pandas to handle large-scale data processing tasks.
  • Database Management: Design, implement, and manage relational (SQL) and non-relational databases for data storage and retrieval.
  • Cloud Technologies: Leverage cloud platforms such as AWS, GCP, or Azure to deploy and manage data infrastructure.
  • Collaboration: Work closely with data scientists, analysts, and software engineers to support analytical and machine learning projects.
  • Data Quality & Performance Optimization: Ensure data accuracy, consistency, and security while optimizing performance.
  • Monitoring & Troubleshooting: Identify and resolve data pipeline performance bottlenecks and failures.
  • Ideal Profile Required Work Experience: 2+ years of experience in data engineering or a related field.
  • Proven experience developing ETL pipelines and data processing workflows.
  • Hands-on experience with PySpark, Pandas, and SQL.
  • Experience working with big data technologies such as Apache Spark, Hadoop, or Kafka (preferred).
  • Familiarity with cloud data solutions (AWS, GCP, or Azure).
  • Required Skills: Programming: Strong proficiency in Python (PySpark, Pandas) or Scala.
  • Data Modeling & Storage: Experience with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).
  • Big Data & Distributed Computing: Knowledge of Apache Spark, Hadoop, or Kafka.
  • ETL & Data Integration: Ability to develop efficient ETL processes and manage data pipelines.
  • Cloud Computing: Experience with AWS (S3, Redshift, Glue), GCP (BigQuery), or Azure (Data Factory, Synapse).
  • Data Warehousing: Understanding of data warehousing concepts and best practices.
  • Problem-Solving: Strong analytical skills to troubleshoot and optimize data pipelines.
  • Communication: Must be proficient in spoken English to collaborate with US-based teams.
  • Education Requirements: Bachelors degree in Computer Science, Data Engineering, Information Technology, or a related field (preferred).
  • Equivalent work experience in data engineering will also be considered.
  • What's on Offer? Work within a company with a solid track record of success Attractive salary & benefits Excellent career development opportunities #J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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