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Senior Data Engineering

Senior Data Engineering

Mastercard

5 - 9 years

0 Lacs

pune maharashtra

Posted:2 days ago| Platform: Shine logo

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Skills Required

python aws azure gcp glue git airflow dbt docker pyspark s3 data factory databricks cicd agilescrum step functions terraform

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Data Engineer at Mastercard, you will play a crucial role in designing and building scalable, cloud-native data platforms. Your responsibilities will include: - Designing and building scalable, cloud-native data platforms using PySpark, Python, and modern data engineering practices. - Mentoring and guiding other engineers, sharing knowledge, reviewing code, and fostering a culture of curiosity, growth, and continuous improvement. - Creating robust, maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases. - Leading by example by writing high-quality, testable code and participating in architecture and design discussions with a long-term view in mind. - Decomposing complex problems into modular, efficient, and scalable components that align with platform and product goals. - Championing best practices in data engineering, including testing, version control, documentation, and performance tuning. - Driving collaboration across teams, working closely with product managers, data scientists, and other engineers to deliver high-impact solutions. - Supporting data governance and quality efforts, ensuring data lineage, cataloging, and access management are built into the platform. - Continuously learning and applying new technologies, frameworks, and tools to improve team productivity and platform reliability. - Owning and optimizing cloud infrastructure components related to data engineering workflows, storage, processing, and orchestration. - Participating in architectural discussions, iteration planning, and feature sizing meetings. - Adhering to Agile processes and participating actively in agile ceremonies. Qualifications required for this role: - 5+ years of hands-on experience in data engineering with strong PySpark and Python skills. - Solid experience designing and implementing data models, pipelines, and batch/stream processing systems. - Proven ability to work with cloud platforms (AWS, Azure, or GCP), especially in data-related services like S3, Glue, Data Factory, Databricks, etc. - Strong foundation in data modeling, database design, and performance optimization. - Understanding of modern data architectures (e.g., lakehouse, medallion) and data lifecycle management. - Comfortable with CI/CD practices, version control (e.g., Git), and automated testing. - Demonstrated ability to mentor and uplift junior engineers with strong communication and collaboration skills. - Bachelor's degree in computer science, Engineering, or related field or equivalent hands-on experience. - Comfortable working in Agile/Scrum development environments. Additional details about Mastercard: Mastercard's decency quotient, or DQ, drives the culture and everything they do inside and outside of the company. With connections across more than 210 countries and territories, Mastercard is dedicated to building a sustainable world that unlocks priceless possibilities for all. As a Senior Data Engineer at Mastercard, you will have the opportunity to work on cutting-edge projects, collaborate with diverse teams, and contribute to a culture of innovation and excellence.,

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Senior Data Engineering