Senior Azure Data Engineer PH-06

Technologies: Azure Data Factory , Python, Spark

Locations available: CR

Job Mode: Full-time

Work Mode: 100% remote

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.

A Senior 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

Step into a high-impact role where your expertise in Azure data engineering will shape intelligent data solutions at scale. Join a forward-thinking team that values innovation, ownership, and pushing the boundaries of what's possible with cloud data platforms.

Job Responsibilities

• Design, develop, and implement robust data engineering solutions using Microsoft Azure
• Build and manage scalable data pipelines and ETL processes
• Optimize data storage and retrieval systems for performance and scalability
• Collaborate closely with data scientists and analysts to design models and enable data-driven insights
• Ensure data integrity through rigorous validation, cleansing, and quality checks
• Proactively monitor, troubleshoot, and resolve issues in data pipelines
• Continuously adopt and apply the latest Azure data engineering best practices and technologies

Job Requirements

• Great English proficiency (B2+ Written and spoken)
• 6+ years of experience as a Senior Azure Data Engineer
• Impeccable punctuality (schedules are flexible but being in time for meetings is crucial).
• Proficiency in Python and its use in data engineering contexts
• Deep understanding of Azure services: Data Lake, Spark for Synapse or Azure Databricks, Synapse Pipelines or Azure Data Factory, Mapping Data Flows, Synapse Serverless/SQL Pools, and SQL Server
• Hands-on experience with version control, source control, and CI/CD processes for promoting data artifacts across environments
• Strong data modeling skills: understanding of relationships, entities, facts, and dimensions
• Ability to ingest and process data in a variety of formats, with varying volume, velocity, and veracity
• Excellent problem-solving skills and a proactive, self-starting mindset
• Comfortable working both independently and as part of a collaborative team
• Business acumen and ability to work with stakeholders to interpret and deliver accurate data solutions

Nice to have

• Experience with Azure DevOps for managing data pipeline deployments and environment promotion
• Familiarity with real-time or near-real-time data processing using Azure Stream Analytics or similar tools

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.