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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, PySpark, 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.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.