Data Engineer (Snowflake) - Exclusiva PCD

tbucket), applying branching strategies, pull requests, and code reviews.

• Excellent communication skills in English for clear interactions with users and stakeholders.

• Understanding of Agile methodologies and collaboration in an agile delivery environment.

Desired qualifications (nice to have):

• Professional certifications in Snowflake or Databricks.

• Familiarity with data quality frameworks and monitoring strategies.

• Ability to work independently with high levels of ownership and proactivity.

• Strong analytical and problem-solving capabilities, combined with adaptability and teamwork.

Main activities and responsibilities:

• Monitor and respond to alert notifications regarding execution failures across tools such as Databricks, Azure Data Factory, and internal data-quality reports.

• Review monitoring dashboards to identify issues and create the corresponding PBIs or user stories for corrective actions.

• Engage proactively with users through team communication channels, capturing operational issues and performing required fixes.

• Work extensively with Azure Cloud Services, Azure Data Factory, Databricks, Python, Spark, and Snowflake, performing investigations related to missing data, pipeline failures, and schedule deviations.

• Execute break-in requests by conducting issue investigations, root-cause analyses, and remediation for pipelines that fail or behave unexpectedly.

Additional information:
Type of work: CLT, Flexible hours.
Benefits package: Transport vouchers, meal vouchers, childcare assistance, life insurance, funeral assistance, medical and dental insurance.
Career: Global work on national and international clients and/or projects, possibility of international career movement.