Qureos Mentor

Enable Data

Experience Required: 8+Years
 Mode of work: Remote
 Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark
 Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within September 29th 2025)
 
<ul>
<li>Translate business rules into technical specifications and implement scalable data solutions.</li>
<li>Manage a team of Data Engineers and oversee deliverables across multiple markets.</li>
<li>Apply performance optimization techniques in Databricks to handle large-scale datasets.</li>
<li>Collaborate with the Data Science team to prepare datasets for AI/ML model training.</li>
<li>Partner with the BI team to understand reporting expectations and deliver high-quality datasets.</li>
<li>Perform hands-on data modeling, including schema changes and accommodating new data attributes.</li>
<li>Implement data quality checks before and after data transformations to ensure reliability.</li>
<li>Troubleshoot and debug data issues, collaborating with source system/data teams for resolution.</li>
<li>Contribute across project phases: requirement analysis, development, code review, SIT, UAT, and production deployment.</li>
<li>Utilize GIT for version control and manage CI/CD pipelines for seamless deployment across environments.</li>
<li>Adapt to dynamic business requirements and ensure timely delivery of solutions.</li>
</ul>
Requirements: 
<ul>
<li>Strong expertise in Azure Databricks, PySpark, and SQL.</li>
<li>Proven experience in data engineering leadership and handling cross-market deliverables.</li>
<li>Solid understanding of data modeling and ETL/ELT pipelines.</li>
<li>Hands-on experience with performance optimization in big data processing.</li>
<li>Proficiency in Git, CI/CD pipelines, and cloud-based deployment practices.</li>
<li>Strong problem-solving and debugging skills with large, complex datasets.</li>
<li>Excellent communication skills and ability to collaborate with cross-functional teams.</li>
</ul>

Senior Data Engineer / Architect

<ul>
<li>Design, implement, and maintain data infrastructure to process and store large-scale vision data sets</li>
<li>Build automated workflows for data ingestion, transformation, and validation within the Azure ML ecosystem</li>
<li>Develop monitoring systems and data quality controls for AML pipeline operations</li>
<li>Create and maintain data asset management strategies within Azure ML workspaces</li>
<li>Partner with Data Scientists to optimize data preparation workflows for vision model training</li>
<li>Implement efficient data storage and access patterns using Azure ML datastores</li>
<li>Establish best practices for pipeline logging, monitoring, and error handling</li>
</ul>
Minimum Qualifications
 <ul>
<li>Bachelor's degree in Computer Science or Data Science</li>
<li>Two (2) years of Data Engineering experience</li>
<li>Two (2) years of experience programming in YAML and Python</li>
<li>Experience building automated ML based workflows</li>
<li>Experience preparing data sets for ML model training</li>
<li>Immigration sponsorship not available for this role</li>
</ul>
Requirements: 
<ul>
<li>Experience using Azure Databricks</li>
<li>Experience using Azure Machine Learning (AML) and AML Python SDK</li>
<li>Experience using Pandas / NumPy</li>
<li>Building and maintaining AML pipelines</li>
<li>Proficiency with Azure ML datastores and data asset management</li>
</ul>

Machine Learning Engineer with Azure Databricks

Join Enable Data and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Enable Data

ABOUT_COMPANY

Senior Data Engineer / Architect

Machine Learning Engineer with Azure Databricks