Data Engineer I

Mastercard is hiring a Data Engineer I in Pune.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer I

Responsibilities

• Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake.
• Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments.
• Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.
• Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions.
• Work with large datasets, ensuring data quality, accuracy, and performance.
• Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs.
• Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
• Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security.
• Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
• Document data processes, data lineage, and technical specifications for future reference.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Collaborate with DevOps teams to automate deployment and monitoring of data pipelines.
• Additional tasks as required.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience as a Data Engineer / Scientist or similar role.
• Deep understanding & expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.
• Strong command of data integration techniques and data quality management.
• Hands-on experience with data technologies such as Databricks, Spark, Python, SQL, Hadoop, Airflow.
• Familiarity with cloud platforms and services, such as AWS or Azure.
• Excellent analytical, problem-solving skills and ability to provide innovative data solutions.
• Exceptional interpersonal skills with proven experience in relationship building and partnering, must work well in both team/individual settings and must be able to work with a geographically dispersed team.
• Strong written and oral communication skills. Attention to detail is a must.
• Motivated self-starter with ability to excel at multi-tasking in a fast-paced environment and able to function under pressure with a high degree of initiative to drive results.
• Ability to quickly learn and implement new technologies and perform POC to explore best solutions for problem statements.
• Flexibility to work as a member of a matrix-based diverse and geographically distributed project team.

All About You

• 0.6 -1.5 years of experience in Data Engineering or Warehouse-related projects.
• Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end Data Engineering or Warehouse projects in Big Data environment.
• Experience building data pipelines through Spark with Scala/Python/Java in Databricks or Hadoop environment

About Mastercard

Are you a skilled Data Engineer with a passion for building robust data & analytics products/solutions and driving impact? As Data Engineer II, you will spearhead the creation of a reliable and efficient data products & solutions, enabling the delivery of exceptional Data & Analytics Services to both internal & external customers. Role As the Data Engineer II for Mastercard's Data & Analytics team, you will be the driving force behind the development and execution of cutting-edge data products,