Cloud Data Engineer

hace 1 semana


Madrid, Madrid, España Amaris Group Sa A tiempo completo

Company Overview

Amaris Consulting is a leading international consulting firm with a global presence, serving over 1,000 clients worldwide and generating €800M in revenue annually.

Job Summary

We are seeking an experienced Cloud Data Engineer to join our team. The ideal candidate will have a strong background in cloud computing, data engineering, and AWS services.

Estimated Salary Range

$120,000 - $180,000 per annum, depending on location and experience.

Required Skills and Qualifications

  • Minimum of 3 years of experience in Snowflake data engineering
  • Proven experience with AWS services, including Glue, Lambda, and S3
  • Hands-on experience with Snowflake, including data modeling and performance tuning
  • Strong proficiency in Python programming and SQL query writing
  • In-depth knowledge of AWS architecture and best practices
  • Experience with ETL/ELT processes and data pipeline orchestration
  • Familiarity with data warehousing concepts and relational databases
  • Excellent problem-solving skills and attention to detail
  • Certifications: AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate (plus Snowflake certifications)

Responsibilities

  1. Design, develop, and maintain scalable data pipelines using AWS Glue and other AWS services
  2. Implement ETL/ELT processes to transform and move data across systems
  3. Work with Snowflake to manage data storage, optimize performance, and ensure data security
  4. Integrate diverse data sources, including structured and unstructured data, into Snowflake
  5. Utilize AWS Lambda for serverless data processing and real-time data analytics
  6. Automate data workflows and manage event-driven architectures using AWS services
  7. Develop, test, and maintain Python scripts for data processing tasks
  8. Write complex SQL queries to support data extraction, transformation, and loading (ETL)
  9. Ensure data quality, integrity, and accuracy across all data pipelines
  10. Monitor and optimize the performance of data systems, ensuring minimal latency and high availability

Benefits

Rapid growth through a personalized career path and salary assessment

What We Offer

A dynamic team of talented people and a world full of growth and opportunity


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