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Senior Data Engineer

hace 3 meses

Barcelona, Barcelona, España Moody's Corporation A tiempo completo
Designing and maintaining robust and scalable data processes.

  • Handle the data lifecycle of different data sources across the organization.
  • Being pivotal on datadriven decisions within the data team and across the organisation.
  • 2+ years experience as a data engineer or related;
  • Proficiency regarding data models and databases internals;
  • Experience managing large amounts of structured/unstructured data;
  • 3+ years of development experience in Python
  • Experience with relational databases (E.g. PostgreSQL, MySQL) and NoSQL databases (E.g. MongoDB, DocumentDB).
  • Familiarity with the AWS ecosystem;
  • A passion for data quality and clean, documented code;
  • Experience with agile practices;
  • Eager to continuously bring in innovation by exploring new methods and technologies
  • Good communication skills with the ability to discuss clearly complex topics
  • Ability to provide direction and mentoring to junior profiles
  • Fluent in English (spoken and written).
You stand out if

  • Have experience with dbt;
  • Have experience building APIs in Python;
  • Have experience with orchestration tools like Airflow;
  • Have experience with data lakes and data warehouses;
  • Have experience with BigData tools like Kafka, Spark, etc.;
  • You are familiar with eventdriven architecture.
  • Be part of our journey We are looking for a selfdriven and passionate developer to join our tech team.
  • Moody's is an equal opportunity employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

  • Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
  • Designing and maintaining robust and scalable data processes.
  • Handle the data lifecycle of different data sources across the organization.
  • Being pivotal on datadriven decisions within the data team and across the organisation.
  • 2+ years experience as a data engineer or related;
  • Proficiency regarding data models and databases internals;
  • Experience managing large amounts of structured/unstructured data;
  • 3+ years of development experience in Python
  • Experience with relational databases (E.g. PostgreSQL, MySQL) and NoSQL databases (E.g. MongoDB, DocumentDB).
  • Familiarity with the AWS ecosystem;
  • A passion for data quality and clean, documented code;
  • Experience with agile practices;
  • Eager to continuously bring in innovation by exploring new methods and technologies
  • Good communication skills with the ability to discuss clearly complex topics
  • Ability to provide direction and mentoring to junior profiles
  • Fluent in English (spoken and written).
You stand out if

  • Have experience with dbt;
  • Have experience building APIs in Python;
  • Have experience with orchestration tools like Airflow;
  • Have experience with data lakes and data warehouses;
  • Have experience with BigData tools like Kafka, Spark, etc.;
  • You are familiar with eventdriven architecture.
Be part of our journey We are looking for a self-driven and passionate developer to join our tech team.

Moody's is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.