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Data Engineer II
2 months ago
We are seeking a highly skilled Data Engineer II to join our Technical Implementation - Data and Delivery team within Mastercard's Test and Learn team. As a key member of our team, you will play a critical role in driving customer experience strategy through innovation and problem-solving.
Key Responsibilities- Design, implement, and maintain enterprise ETL processes for data platforms, supporting a global client base.
- Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
- Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
- Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
- Build strong working relationships with team members and clients, contributing to both local and global projects.
- Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
- Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
- Participate in efforts to automate routine data tasks and streamline processes.
- Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
- Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies.
- Experience with SSIS (SQL Server Integration Services) for ETL processes and data transformations.
- Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines.
- Understanding of data modeling concepts and database design to support scalable data solutions.
- Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
- Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
- Strong interpersonal skills to work effectively in a team environment and communicate technical concepts to non-technical stakeholders.
- Demonstrated willingness to learn new tools, technologies, and methodologies to improve skills and contribute to the team's success.
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics). Equivalent practical experience in data engineering, data analytics, software development, or related fields will be considered.
Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.