Cloud Counselage Data Engineer

hace 3 días


Madrid, Madrid, España Cloud Counselage A tiempo completo

About Cloud Counselage

We are a dynamic organization driven by innovation, seeking a talented Junior Data Engineer to join our team. This role offers an exciting opportunity for individuals with a strong foundation in data engineering principles to grow and develop their skills in a fast-paced environment.

Competitive Salary: $80,000 - $110,000 per year, depending on experience

Job Overview: We are looking for a motivated Junior Data Engineer to collaborate with cross-functional teams in identifying, collecting, and ingesting data from various sources, including databases, APIs, and external data streams.

Data Transformation: Clean, preprocess, and transform raw data into usable formats, ensuring data quality and integrity throughout the process.

Data Modeling: Assist in designing and implementing data models to support business requirements, optimizing for performance, scalability, and flexibility.

Database Management: Develop and maintain databases and data warehouses, including schema design, indexing, and optimization for efficient data storage and retrieval.

ETL Processes: Design, develop, and optimize ETL pipelines to automate data workflows and facilitate data movement across systems.

Data Visualization: Work closely with data analysts and scientists to generate insights from data and create visualizations, reports, and dashboards to communicate findings effectively.

Maintenance and Monitoring: Monitor data pipelines and systems for performance, reliability, and data quality issues, troubleshooting and resolving issues as they arise.

Documentation: Document data engineering processes, workflows, and best practices to ensure knowledge sharing and maintainable solutions.

Continuous Learning: Stay updated on emerging trends and technologies in data engineering and related fields, actively seeking opportunities for skill development and growth.

Requirements:

  • Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field
  • Strong proficiency in programming languages such as Python, SQL, or Java, with a focus on data manipulation and analysis
  • Familiarity with database technologies (e.g., SQL databases, NoSQL databases) and data warehousing concepts
  • Experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi, Talend)
  • Solid understanding of data modeling principles and best practices
  • Strong problem-solving skills and attention to detail
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment

Benefits: Competitive salary, opportunities for professional development and career growth, collaborative and dynamic work environment, and more



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