Tech Stack
AzureCloudETLPySparkPythonSQL
About the role
- 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.
Requirements
- Looking for a Data Engineer with Azure Data Stack expertise to design, build, and optimize large-scale data pipelines and analytics solutions.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Azure Data FactoryDatabricksSynapse AnalyticsSQLPythonPySparkETLELTdata warehousingreal-time streaming
Soft skills
communicationproblem-solving