Senior Data Engineer – Azure

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and implement data engineering solutions utilizing Azure and Databricks.

• Create, improve, and sustain scalable, efficient, reliable, and high-performance data pipelines.

• Integrate data from various sources and systems.

• Assist in optimizing processes and pipeline performance.

• Ensure the quality, security, availability, and accessibility of data.

• Develop robust data solutions.

• Collaborate with both technical and non-technical stakeholders to convert business requirements into actionable solutions.

• Help deliver value and outcomes for clients and the organization.

⛳️ Requirements

• Extensive experience in Data Engineering.

• Proficiency with Azure, Databricks, Azure Data Factory, and Unity Catalog.

• Strong skills in Python, PySpark, and SQL.

• Understanding of ETL/ELT processes.

• Familiarity with SQL and NoSQL databases.

• Knowledge of distributed systems and large-scale data processing.

• Experience in integrating data from diverse sources and systems.

• Familiarity with Azure DevOps Test Plans and Agile methodologies.

• Capability to ensure data quality, security, availability, and accessibility.

• Excellent communication skills tailored to both technical and non-technical audiences.

• Ability to translate business needs into practical and scalable solutions.

• Skill in influencing decisions and nurturing trusted relationships with stakeholders.

• Strong analytical and problem-solving abilities.

🏝️ Benefits

• Experience diversity and multiculturalism at Keyrus.

• Opportunity to collaborate with individuals from various regions and share knowledge and ideas.

• Emphasis on collaboration, knowledge sharing, and continuous improvement.

• Development of expertise in data, AI, and human-centered decision-making.

• Engagement in projects and challenges across varied industries, markets, and geographies.