All fields marked * are required
Location: Remote
💼 Experience: 7+ Years
We are looking for an experienced Azure Data Consultant with strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, and PySpark to join our growing data engineering team. The ideal candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform.
Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF).
Build and optimize data warehousing and analytics solutions using Azure Synapse Analytics.
Develop scalable data transformation and processing workflows using PySpark.
Implement ETL/ELT processes for structured and unstructured data sources.
Perform data modeling, data integration, and performance tuning activities.
Collaborate with business stakeholders, architects, and cross-functional teams to gather requirements and deliver data solutions.
Ensure data quality, security, governance, and compliance across Azure environments.
Troubleshoot data pipeline issues and optimize performance for large-scale datasets.
Support cloud migration and modernization initiatives involving data platforms.
7+ years of experience in Data Engineering and Analytics.
Strong hands-on experience with Azure Data Factory (ADF).
Expertise in Azure Synapse Analytics.
Proficiency in PySpark and distributed data processing.
Strong SQL and data modeling skills.
Experience working with Azure Data Lake Storage (ADLS).
Knowledge of ETL/ELT frameworks and data integration patterns.
Understanding of data warehousing concepts and best practices.
Experience with CI/CD and Azure DevOps is preferred.
Required
Preferred
All fields marked * are required
Location: Remote
💼 Experience: 7+ Years
We are looking for an experienced Azure Data Consultant with strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, and PySpark to join our growing data engineering team. The ideal candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform.
Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF).
Build and optimize data warehousing and analytics solutions using Azure Synapse Analytics.
Develop scalable data transformation and processing workflows using PySpark.
Implement ETL/ELT processes for structured and unstructured data sources.
Perform data modeling, data integration, and performance tuning activities.
Collaborate with business stakeholders, architects, and cross-functional teams to gather requirements and deliver data solutions.
Ensure data quality, security, governance, and compliance across Azure environments.
Troubleshoot data pipeline issues and optimize performance for large-scale datasets.
Support cloud migration and modernization initiatives involving data platforms.
7+ years of experience in Data Engineering and Analytics.
Strong hands-on experience with Azure Data Factory (ADF).
Expertise in Azure Synapse Analytics.
Proficiency in PySpark and distributed data processing.
Strong SQL and data modeling skills.
Experience working with Azure Data Lake Storage (ADLS).
Knowledge of ETL/ELT frameworks and data integration patterns.
Understanding of data warehousing concepts and best practices.
Experience with CI/CD and Azure DevOps is preferred.
Required
Preferred