Job description

Azure Data Integration Engineer Lead with Snowflake job at Ccube. San Diego, CA. Job Description Job Description Job Title: Senior/Lead Azure Data Engineer with Snowflake Location: San Jose, CA or San Francisco, CA (Remote, someone who can work in PST hours) Full Time URL- Job Description: We are seeking an experienced Azure Data Engineer with expertise in Snowflake to join our team. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting. Responsibilities: Design, develop, and maintain data pipelines on Azure to ingest, process, and transform data from various sources. Optimize data storage and processing using cloud-native services and technologies such as Azure Data Lake Storage, Azure Data Factory, etc. Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning. Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes. Develop and maintain ETL processes for data integration and migration between different data sources and platforms. Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations. Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives. Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies. Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry. Requirements: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Minimum of 10 years of experience as a Data Engineer, with a focus on Azure, and Snowflake. Strong proficiency in data modelling, ETL development, and data integration. Expertise in cloud platforms such as Azure, including hands-on experience with data storage and processing services. In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning. Experience with scripting languages such as Python or Java for data manipulation and automation tasks. Familiarity with data governance principles and security best practices. Strong problem-solving skills and ability to work independently in a fast-paced environment. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders. Powered by JazzHR OeaEhpnvJG

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