Data Engineer II-2

Role Overview: As a Data Engineer II-2 at Mastercard, you will be part of the T&L Data Delivery team, which is a rapidly growing organization within the MasterCard Services group. You will support the design, implementation, and maintenance of enterprise ETL processes for data platforms, working with a global client base. Your role will involve collaborating with Data Engineers and Analysts to deliver high-value data solutions, optimizing data processing using SQL and database technologies, and automating routine data tasks. Additionally, you will be expected to build trust-based relationships with peers and clients, comply with internal policies, and contribute to a high-performance collaborative workplace. Key Responsibilities: - Support the design, implementation, and maintenance of enterprise ETL processes for data platforms - Assist in the data delivery process to ensure on-time, accurate, high-value, and robust data solutions - Optimize data processing using SQL and other database technologies - Develop scalable and efficient code to handle large data sets - Apply industry best practices such as version control and data validation - Design streamlined processes to automate routine data tasks - Collaborate with peers and clients across local and global teams on multiple projects - Uphold all Mastercard internal policies and external regulations Qualifications Required: - BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research); ME/MTech preferred - Excellent quantitative, technical, and communication skills - Experience as a Data Engineer or in a similar role with a strong understanding of data engineering concepts and methodologies - Strong knowledge of writing and optimizing SQL queries and experience with Relational Databases (RDBMS) - Familiarity with ETL frameworks, Databricks, and Spark is a plus - Curiosity about emerging developer productivity tools and willingness to learn and experiment - Ability to innovate, think critically, and solve problems - Flexible to work with global offices across different time zones - Basic knowledge of testing and validating data for accuracy and consistency (Note: The additional details about the company or any external regulations were not mentioned in the provided job description.) Role Overview: As a Data Engineer II-2 at Mastercard, you will be part of the T&L Data Delivery team, which is a rapidly growing organization within the MasterCard Services group. You will support the design, implementation, and maintenance of enterprise ETL processes for data platforms, working with a global client base. Your role will involve collaborating with Data Engineers and Analysts to deliver high-value data solutions, optimizing data processing using SQL and database technologies, and automating routine data tasks. Additionally, you will be expected to build trust-based relationships with peers and clients, comply with internal policies, and contribute to a high-performance collaborative workplace. Key Responsibilities: - Support the design, implementation, and maintenance of enterprise ETL processes for data platforms - Assist in the data delivery process to ensure on-time, accurate, high-value, and robust data solutions - Optimize data processing using SQL and other database technologies - Develop scalable and efficient code to handle large data sets - Apply industry best practices such as version control and data validation - Design streamlined processes to automate routine data tasks - Collaborate with peers and clients across local and global teams on multiple projects - Uphold all Mastercard internal policies and external regulations Qualifications Required: - BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research); ME/MTech preferred - Excellent quantitative, technical, and communication skills - Experience as a Data Engineer or in a similar role with a strong understanding of data engineering concepts and methodologies - Strong knowledge of writing and optimizing SQL queries and experience with Relational Databases (RDBMS) - Familiarity with ETL frameworks, Databricks, and Spark is a plus - Curiosity about emerging developer productivity tools and willingness to learn and experiment - Ability to innovate, think critically, and solve problems - Flexible to work with global offices across different time zones - Basic knowledge of testing and validating data for accuracy and consistency (Note: The additional details about the company or any external regulations were not mentioned in the provided job description.)