Data Engineer – Azure

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

📋 Description

• Develop data pipelines to extract data from databases, APIs, and streaming services.

• Integrate and transform data to ensure compatibility with target data models or formats.

• Create and enhance data storage architectures, such as data lakes, data warehouses, and distributed file systems.

• Apply partitioning, compression, indexing, query optimization, and caching techniques to improve storage, retrieval, and system performance.

• Design and implement data models that facilitate efficient storage, retrieval, and analysis.

• Work collaboratively with data scientists, analysts, and business stakeholders to gather requirements and deliver technical solutions.

• Clearly communicate complex technical ideas to non-technical stakeholders.

• Independently deliver solutions while being accountable for the outcomes.

• Operate within Agile and Scrum frameworks.

• Provide training and mentorship to junior data engineers.

• Create and implement data processing systems on the Azure platform.

• Write efficient and scalable code to process, transform, and clean large datasets of both structured and unstructured data.

⛳️ Requirements

• 4–6 years of professional experience in a related role.

• Proficient in Databricks with a rating of 4/5.

• Proficient in Apache Spark with a rating of 4/5.

• Proficient in data programming with a rating of 4/5.

• Proficient in software development for data engineering with a rating of 4/5.

• Azure Services proficiency rated at 3/5.

• Technical leadership skills rated at 3/5.

• Data processing architecture proficiency rated at 3/5.

• Familiarity with GenAI for Data Engineering rated at 3/5.

• CI/CD automation proficiency rated at 3/5.

• Excellent communication skills, capable of conveying information clearly and specifically to colleagues and business stakeholders.

• Experience with Agile methodologies and related tools such as JIRA and Azure DevOps.

• Practical experience in designing and optimizing data storage solutions, including data lakes, data warehouses, and distributed file systems.

• Ability to work independently and take responsibility for solution delivery.

• Experience or knowledge of other cloud technologies, data governance, and business analysis is advantageous.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and training.

• Flexible working hours and remote work options.

• Comprehensive health and wellness benefits.

• Collaborative and inclusive work environment.