Full Stack Data Engineer

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rockITdata

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

💼 Conseil

Artificial Intelligence • Consulting • Technology

rockITdata est une société de conseil spécialisée dans la fourniture de solutions stratégiques et de soutien dans les domaines de l'IA, des données et analyses, de la transformation IT et du conseil en management. L'entreprise se concentre sur l'exploitation des technologies basées sur le cloud et axées sur l'IA pour transformer les expériences clients et rationaliser les opérations. Leur expertise réside dans le service des industries du secteur commercial et public, offrant des solutions sur mesure qui intègrent des technologies à double usage pour stimuler la croissance des entreprises et améliorer l'engagement client. rockITdata s'engage à offrir des solutions innovantes qui autonomisent les équipes et optimisent les relations clients grâce à des partenariats technologiques avancés.

Description

• Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources. • Integrate data from different systems and platforms to create unified datasets for analysis and reporting. • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases. • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness. • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats. • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. • Build software applications and APIs to expose data services and functionality to other systems and applications. • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems. • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration. • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

🎯 Exigences

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development. • Strong understanding of database concepts, data modeling techniques, and SQL programming. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions. • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

🏖️ Avantages

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development