Posted:1 month ago|
Platform:
Work from Office
Full Time
Visa Inc. is seeking a highly skilled Data Engineer to join our Data Analytics team. The ideal candidate will possess strong data engineering skills, analytical domain knowledge, and experience with Google Analytics data, GA4 behavioral data pipelines, and Google BigQuery. Additionally, the candidate should have knowledge of Generative AI (GenAI) frameworks, a keen interest in exploring automation opportunities in the data engineering domain, and a solid understanding of dealing with big data and querying it effectively. This role will be pivotal in developing and maintaining data pipelines and analytical solutions to enhance our digital presence and improve customer engagement. Responsibilities: Design, develop, and implement data integration and analytics solutions using Google Analytics data and Google BigQuery. Architect and maintain scalable data pipelines for GA4 behavioral data, ensuring data quality and integrity. Collaborate with cross-functional teams to gather requirements and deliver data-driven business solutions. Perform data cleaning, transformation, and analysis to provide actionable insights. Develop and maintain ETL processes using technologies such as Hadoop, Hive, Spark, and SQL. Optimize data queries and manage data storage solutions to support advanced analytics. Implement best practices for data engineering and ensure compliance with data governance policies. Explore and implement automation opportunities in data engineering using GenAI frameworks. Provide technical support and troubleshooting for data-related issues. Handle large-scale data processing and querying using tools like Google BigQuery, ensuring efficient data retrieval and analysis. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications Bachelors degree in Computer Science, Information Technology, or a related field.
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