Description

Experience: 3-5 years

Key Highlights: Python, Azure Data Factory, Azure Databricks, Synapse Analytics, and SQL Server to process
 

Position Overview:
Responsibilities
* Develop, maintain, and optimize data pipelines using Python and Azure Data Services. 
* Work with Azure Data Factory, Azure Databricks, Synapse Analytics, and SQL Server to process and analyze large datasets. 
* Implement ETL processes and data transformations for structured and unstructured data. 
* Collaborate with data engineers, analysts, and business teams to ensure data integrity and
availability. 
* Design and implement data models and storage solutions on Azure. 
* Optimize data workflows for performance and scalability. 
* Ensure security and compliance with Azure best practices.
 
 Required Skills & Qualifications:
* 3-5 years of experience in Python development. 
* Strong knowledge of Azure Data Platform (Azure Data Factory, Databricks, Synapse, SQL Server). 
* Experience with big data processing using PySpark or Apache Spark. 
* Proficiency in SQL for querying and managing databases. 
* Familiarity with data warehousing and cloud-based data solutions. 
* Knowledge of CI/CD pipelines and DevOps practices for data engineering. 
* Strong problem-solving and analytical skills. 
Preferred Qualifications:
* Azure certifications would be an added advantage. 
* Experience with machine learning and AI-driven data processing. 
* Knowledge of Snowflake or other cloud-based data platforms

Key Skills

Education

Any Graduate