Data Engineer

As a Data Engineer, you will be tasked with handling customer inquiries, maintaining customer records, and processing applications with a high level of organization and attention to detail.

• Utilize Azure Data tools such as Azure Data Bricks, Data Factory, Synapse, etc. to manage large scale data projects.
• Employ SQL and tools like PySpark to facilitate data management and analysis.
• Engage in efficient and accurate processing of customer credit applications.
• Maintain precise customer credit records and monitor customer accounts.
• Use analytics and business intelligence (BI) to inform decision-making processes.
• Leverage skills in Apache Spark, Database, EO/IR systems, and Erwin Data to enhance data processing and management.
• Employ AWS Technologies to support data storage and retrieval.
• Utilize Azure Databricks, Azure Data Factory, and Azure Data Lake to enhance data processing capabilities.
• Contribute to the development of business requirement documents to ensure alignment with project goals.
• Conduct AB Testing to evaluate the effectiveness of data management strategies. • Minimum of five years of experience in a similar role within a CPA Firm or Business Management sector
• Proficiency in Apache Spark, Database, EO/IR systems, and Erwin Data
• Familiarity with HDFS and AB Testing
• Proven experience in Analytics and AWS Technologies
• Demonstrable knowledge of Business Intelligence (BI) and Business Requirement Document
• Expertise in Azure Databricks, Azure Data Factory, and Azure Data Lake
• Bachelor's degree in Computer Science, Information Systems, or a related field is preferred
• Excellent communication and teamwork skills
• Ability to manage multiple projects simultaneously and meet deadlines
• Strong problem-solving skills and attention to detail
• Proven ability to work independently and make critical decisions
• Familiarity with data architecture and data processing flowchart design
• Prior experience in a fast-paced, agile work environment is beneficial.