Senior Data Engineer
Primary Skills
- AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions
Job requirements
- Looking for a Data Engineer with Azure Data Stack expertise to design, build, and optimize large-scale data pipelines and analytics solutions.
- Key Responsibilities:
- • Develop and maintain data pipelines using Azure Data Factory, Databricks, and Synapse Analytics
- • Work with structured/unstructured data for analytics and reporting.
- • Optimize data models and storage for scalability and performance.
- • Collaborate with data scientists, BI developers, and business teams.
- • Ensure compliance with enterprise data governance and security standards.
- Required Skills:
- • Hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, Data Lake and fair idea of Fabrics
- • Strong proficiency in SQL, Python, PySpark.
- • Experience in ETL/ELT pipeline design, data warehousing, and real-time streaming.
- • Knowledge of Azure DevOps, CI/CD, and cloud data architecture best practices.
- • Excellent communication and problem-solving abilities.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply info ->
To find out more about this job, please visit this link
