Job Details

Data Engineer
Hybrid Role
Compensation: $35
ABOUT THE ROLE

Our Client is seeking a Data Engineer to collaborate with source data application teams and product owners in designing, implementing, and supporting analytics solutions that drive business insights and enable better decision-making. This role requires hands-on experience with Azure services-including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, and Azure Databricks-as well as traditional data warehouse tools. You will be involved in all phases of the development lifecycle, from design, cloud engineering (infrastructure, network, security, and administration), data ingestion, preparation, and modeling, to testing, CI/CD pipeline management, performance tuning, deployment, BI, alerting, and production support. The ideal candidate is comfortable working both independently and within a DevOps team, adheres to coding standards and security guidelines, and thrives in a multi-functional technical team environment. Experience with Agile development, SQL, PySpark, Python, cloud platforms, and data validation is required, while data or machine learning modeling experience is a plus.
WHAT YOU'LL DO

• Work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide actionable business insights
• Develop and maintain data migration and engineering solutions using Azure products and services (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks) and traditional data warehouse tools
• Participate in all aspects of the development lifecycle, including design, cloud engineering (infrastructure, network, security, administration), data ingestion, preparation, modeling, testing, CI/CD pipeline management, performance tuning, deployments, BI, alerting, and production support
• Develop technical solutions and collaborate effectively within a team environment, as well as work independently when required
• Be an active member of a DevOps team that fully owns and supports its products
• Follow coding standards, best practices, and privacy and security guidelines to ensure high-quality, secure solutions
• Contribute to a multi-functional team with diverse technical and domain expertise

• 1+ years of experience in Agile development methodologies
• 1+ years of experience with SQL, PySpark, and Python
• 0-1 year of experience with cloud platforms (preferably Azure)
• 0-1 year of experience in data validation processes
• Experience implementing data migration and engineering solutions using Azure services (Data Lake Storage, Data Factory, Functions, Event Hub, Stream Analytics, Databricks)
• Knowledge of traditional data warehouse tools
• Experience across the development lifecycle: design, cloud engineering (infrastructure, network, security, administration), ingestion, preparation, data modeling, testing, CI/CD pipelines, performance tuning, deployments, BI, alerting, production support
• Ability to develop technical solutions and collaborate within a team and independently
• Familiarity with DevOps practices and product ownership
• Adherence to coding standards, best practices, and privacy/security guidelines
• Nice to have: 1 year of experience in data or machine learning modeling

• Opportunity to work with cutting-edge Azure technologies and data engineering tools
• Collaborative, multi-functional team environment
• Exposure to the full development lifecycle and DevOps practices
• Competitive compensation
• Potential for professional growth in data engineering and cloud technologies