Azure Data Engineer PH-14

Locations available : All LatAm

Oceans Code Experts is looking for talented individuals that are ready for the next step in their career, we offer a collaborative professional environment as full of rewarding experiences as it is of challenges.

An Azure Data Engineer at Oceans can expect to work on multiple projects, work with a cross-functional team, and are transparent about time and tasks to help clients understand the progress of their projects.

Candidates must LOVE helping people, solving business problems, and pushing themselves to slay the next beast of a project.

Job Summary

We are seeking an experienced Azure Data Engineer to design, develop, and optimize data pipelines using Azure cloud technologies. This role focuses on building scalable, high-performance data solutions, optimizing for cost and efficiency while ensuring the reliability and quality of data products.

Job Responsibilities

• Design and develop data pipelines using Azure Synapse Analytics, Spark Pools, and Azure Data Factory (ADF).
• Write efficient Python and SQL code, focusing on scalability, performance, and optimization.
• Manage Azure Data Lake for structured and unstructured data ingestion at scale (volume, variety, velocity).
• Implement CI / CD pipelines and adhere to DataOps practices for automation and reliability.
• Optimize data partitioning, versioning, and storage / compute costs for large-scale workloads.
• Ensure high-quality solutions through unit testing frameworks and automated validation.
• Collaborate with business teams to support analytics, reporting, and data science initiatives.
• Mentor junior engineers, sharing knowledge and promoting engineering excellence

Job Requirements

Nice to have

Position Type and Expected Hours of Work

This is a full-time consultancy, with up to 40 weekly hours during regular business times. We operate under a flexible core hours policy to accommodate various schedules, allowing consultants to perform during their peak productivity times. Additionally, we offer the flexibility to work remotely.

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