Data Engineer

Data Engineer – Azure Data Platform

About the Opportunity

We are looking for an experienced Data Engineer to join a growing data and analytics team focused on building modern, cloud-based data solutions. This role will be responsible for designing, developing, and optimizing scalable data platforms that support enterprise reporting, analytics, and data-driven decision making.

The ideal candidate has hands-on experience with Microsoft’s Azure Data Platform and a strong understanding of data engineering best practices, including data governance, data quality, and data management.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

Build and optimize data solutions using Azure cloud technologies.

Develop data ingestion, transformation, and integration processes from multiple data sources.

Create and maintain data models that support reporting, analytics, and business intelligence initiatives.

Develop reusable and high-performance data workflows using SQL and Python.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to translate requirements into technical solutions.

Enhance data architecture through automation, optimization, and performance improvements.

Support CI/CD processes and deployment pipelines for data engineering solutions.

Build and maintain datasets that support enterprise reporting and analytics platforms.

Troubleshoot production data issues and perform root cause analysis.

Participate in code reviews and contribute to engineering best practices.

Required Qualifications

Strong experience with SQL development.

Experience building and maintaining enterprise-scale data pipelines.

Hands-on experience with Microsoft Azure. (MUST)

Experience with:

Azure Synapse Analytics

Azure Databricks

Azure Data Factory

Azure Data Lake

Strong Python programming skills.

Experience with source control and CI/CD methodologies.

Experience working with large datasets and distributed data processing.

Understanding of data modeling and modern data architecture principles.

Experience with data integration and transformation processes.

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Experience with Azure cloud services and data platform technologies.

Experience with Azure Kubernetes Service (AKS) .

Experience with Kubernetes .

Experience using Ansible for infrastructure automation and configuration management.

Experience creating and maintaining technical documentation using Markdown .

Experience with Azure DevOps (ADO) for source control, work item management, and CI/CD pipelines.

Experience with GitHub and Git-based development workflows.

Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate, and Power Pages) .

Experience with Ontology Engineering and semantic data modeling.

Experience writing queries using SPARQL .

Experience writing queries using Cypher .

Experience developing and consuming GraphQL APIs.

Experience designing and working with graph databases and knowledge graph solutions.

Preferred Qualifications

• Experience with Power BI datasets and reporting solutions.

• Experience with data governance frameworks and data quality initiatives.

• Understanding of enterprise data management practices.

• Exposure to Big Data technologies.

• Experience working within Agile environments.

• Ability to collaborate effectively with both technical and business teams