Website:
ltm.com
Job details:
Role Description
Job Summary
Seeking a Senior Data Engineer with 7 to 11 years of experience skilled in Python Snowflake and Azure Data Factory to design develop and optimize scalable data integration and warehousing solutions on Azure platforms
Job Description
Design and develop robust and scalable data pipelines and ETL workflows using Azure Data Factory to integrate data from multiple sources including Snowflake Develop and optimize data warehousing solutions leveraging Snowflake for efficient data storage querying and transformation Write and maintain complex Python scripts and SQL queries for data processing automation and transformation Collaborate with crossfunctional teams to gather and analyze data requirements and translate them into effective technical solutions Ensure data quality security and compliance within Snowflake and Azure environments Monitor and tune data pipelines and Snowflake performance to optimize resource utilization and costefficiency Stay updated with the latest advancements in Azure Data Factory Snowflake Python and related cloud technologies to continuously improve data solutions
Roles and Responsibilities
Lead the design development and maintenance of data integration workflows and pipelines using Azure Data Factory Troubleshoot and resolve issues related to data ingestion transformation and querying within Snowflake and Azure environments Mentor and provide technical guidance to junior team members on best practices for data engineering using Python Snowflake and Azure Data Factory Collaborate with data engineers analysts and stakeholders to align data architecture with business goals and requirements Implement data governance security measures and compliance standards within cloud data platforms Optimize performance scalability and costeffectiveness of data pipelines and Snowflake environments Coordinate with DevOps teams for deployment automation continuous integrationdelivery CICD monitoring and continuous improvement of data solutions
Click on Apply to know more.
