Data Engineer

Credence, a leader in the accounting industry, is seeking a talented Data Engineer to join our dynamic team. In this pivotal role, you will leverage your expertise in data management and engineering to design, build, and maintain robust data pipelines that support our growing range of financial analytics and reporting solutions. You will be responsible for enhancing data reliability and accessibility, ensuring that our accounting teams have the timely information they need to make informed decisions. Credence values innovation and efficiency, and as a Data Engineer, you will play a crucial role in optimizing our data architecture and promoting data-driven strategies across the organization. The ideal candidate will possess strong analytical skills and a deep understanding of data warehousing, ETL processes, and cloud technologies. You will work closely with cross-functional teams, collaborating with data scientists, accountants, and business analysts to ensure that data solutions align with business goals. If you are passionate about transforming data into actionable insights and strive to create a positive impact in the accounting landscape, we encourage you to apply for this exciting opportunity at Credence.

Responsibilities

• Design, develop, and maintain data pipelines that extract, transform, and load data from various sources to support accounting operations.
• Optimize existing ETL processes to improve data processing efficiency and reliability.
• Work collaboratively with data scientists and accountants to understand data needs and deliver effective solutions.
• Implement data quality checks and monitoring systems to ensure data accuracy and consistency.
• Perform data cleansing and normalization to enhance the quality of datasets used in analysis and reporting.
• Manage and document data architecture, including data models and flow diagrams, to facilitate understanding among stakeholders.
• Keep up-to-date with industry trends and technologies to continuously enhance data engineering practices.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or similar role within the accounting or finance industry.
• Strong proficiency in SQL and experience with relational databases like PostgreSQL or MySQL.
• Familiarity with data warehousing solutions and ETL tools such as Apache Airflow, Talend, or Informatica.
• Experience with cloud platforms like AWS, Azure, or Google Cloud and their data services.
• Knowledge of programming languages such as Python, Java, or Scala for data manipulation and automation.
• Excellent problem-solving skills and the ability to communicate complex data concepts to non-technical stakeholders.