Infosys Brazil is looking for professionals with the profile of Data Engineer (Snowflake) to join our team.

Required qualifications:

• Strong expertise in designing, supporting, and developing batch and streaming data pipelines using Azure Cloud Services and Snowflake.
• Advanced proficiency in Python, Py Spark, and Snowflake, with the ability to work on complex data engineering solutions.
• Solid understanding of ETL/ELT processes, including hands-on work with Databricks and Azure Data Factory, integrating with APIs, Event Hubs, and additional data sources.
• Knowledge of Azure Cloud architecture, including storage, security, and resource optimization best practices.
• Strong focus on system maintenance, with the ability to proactively identify and quickly resolve pipeline or job-related issues.
• Experience with Git-based version control (GitHub, GitLab, Bitbucket), 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.