Our Careers

Technologies: Azure, AWS, Python

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 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 you'll tackle large-scale data challenges using cutting-edge Azure technologies. This is your opportunity to architect, optimize, and lead data engineering solutions that power business intelligence and data science initiatives across the enterprise.

Job Responsibilities

• Design, develop, and optimize data pipelines using Azure Synapse Analytics, Spark Pools, and Azure Data Factory (ADF).
• Write efficient, scalable, and high-performance code in Python and SQL.
• Manage ingestion and processing of structured and unstructured data using Azure Data Lake at scale (volume, variety, velocity).
• Implement CI/CD pipelines and apply DataOps principles to ensure automation, reliability, and speed.
• Optimize data partitioning, versioning, and manage storage/compute costs for large-scale data workloads.
• Ensure solution quality through robust unit testing and automated validation.
• Collaborate with business teams to support analytics, reporting, and machine learning use cases.
• Mentor junior engineers, sharing best practices and fostering a culture of engineering excellence.

Job Requirements

• Great English proficiency (B2+ Written and spoken)
• 8+ years of experience as a Data Engineer
• Impeccable punctuality (schedules are flexible but being in time for meetings is crucial
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
• Deep knowledge of both AWS and Azure cloud platforms.
• Expertise in data modeling and performance tuning.
• Advanced skills in Python and SQL, especially for large-scale data processing and optimization.
• Proficient with Azure Synapse Analytics, Spark Pools, Azure Data Factory, and Azure Data Lake.
• Practical experience implementing CI/CD pipelines and leveraging DataOps methodologies.
• Strong ability to manage complex datasets with varying structures and volumes.
• Excellent communication, analytical thinking, problem-solving, and client engagement skills.
• Comfortable working with global teams, including stakeholders in India, and able to accommodate occasional timezone-sensitive meetings.

Nice to have 

• Experience with Delta Lake, data versioning, and advanced partitioning strategies.
• Knowledge of data governance frameworks and security best practices across cloud platforms.
• Understanding of advanced data modeling concepts (e.g., slowly changing dimensions).
• Familiarity with cost optimization strategies for cloud infrastructure.
• Experience mentoring or providing technical leadership to junior team members.

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.