Sr Data Engineer , 3866

Job Summary (List Format):

• Design develop and maintain robust ETL pipelines using Data Bricks and Azure Data Factory.
• Transform raw data into actionable insights to support business decision-making.
• Manage and optimize data storage solutions using SQL Server.
• Collaborate with cross-functional teams and stakeholders to gather requirements and ensure seamless data integration.
• Develop and maintain scalable data architectures and data workflows.
• Automate data operations and enhance deployment processes using DevOps practices.
• Write and optimize Python scripts for efficient data processing and analysis.
• Monitor troubleshoot and ensure accuracy and availability of data pipelines.
• Stay updated with industry trends and adopt new data engineering technologies and best practices.
• Ensure high data quality across platforms and facilitate ongoing improvements in data engineering processes.