Position: Sr. Azure Data Engineer
Experience: 8 To 10 Years
Location: Remote

Job Summary:

We are seeking a highly skilled and experienced Azure Data Engineer with over 8 years of expertise in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong proficiency in SQL, Python (or similar language), and extensive hands-on experience with PySpark, ADF, Azure Databricks, and Data Lake.

Key Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and PySpark.

• Perform advanced data manipulation and scripting using Python or equivalent programming languages.

• Implement and maintain large-scale data solutions leveraging Azure Data Lake and Azure Synapse Analytics.

• Apply data warehousing concepts and methodologies to design and develop data warehouse systems.

• Collaborate with cross-functional teams to understand business requirements and translate them into data models and architecture.

• Ensure data quality, integrity, and governance by following best practices in data engineering.

• Optimize data workflows and manage performance tuning of big data applications.

• Create and manage ETL processes using tools such as Apache Spark.

Required Skills and Qualifications:

• 8 years of experience in data engineering, specifically within Azure ecosystem.

• Proficiency in SQL and scripting/programming in Python or similar languages.

• Strong experience with Azure Data Factory (ADF), PySpark, Azure Databricks, Data Lake, and Azure Synapse.