Data Engineer

hace 1 día


Madrid, Madrid, España Cloud Counselage A tiempo completo
Cloud Counselage

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

What We Offer

Competitive Salary: $80,000 per year based on experience.

Professional Development: Opportunities for growth and career advancement in a collaborative work environment.

About the Role

Data Acquisition: Collaborate with cross-functional teams to identify, collect, and ingest 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.

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

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

Qualifications

Education: Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field.

Skills: 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).



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