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 Senior Data Engineering Who is Mastercard Mastercard is a global technology company in the payments industry Our mission is to connect and power an inclusive digital economy that benefits everyone everywhere by making transactions safe simple smart and accessible Using secure data and networks partnerships and passion our innovations and solutions help individuals financial institutions governments and businesses realize their greatest potential Our decency quotient or DQ drives our culture and everything we do inside and outside of our company With connections across more than 210 countries and territories we are building a sustainable world that unlocks priceless possibilities for all Overview The Mastercard Services Technology team is looking for a Senior Data Engineer to drive our mission to unlock potential of data assets by consistently innovating eliminating friction in how we manage big data assets store those assets accessibility of data and enforce standards and priniples in the Big Data space both on public cloud and on-premise set up We are looking for a hands-on passionate Data Engineer who is not only technically strong in PySpark cloud platforms and building modern data architectures but also deeply committed to learning growing and lifting others The person will play a key role in designing and building scalable data solutions shaping our engineering culture and mentoring team members This is a role for builders and collaborators engineers who love clean data pipelines cloud-native design and helping teammates succeed Role Design and build scalable cloud-native data platforms using PySpark Python and modern data engineering practices Mentor and guide other engineers sharing knowledge reviewing code and fostering a culture of curiosity growth and continuous improvement Create robust maintainable ETL ELT pipelines that integrate with diverse systems and serve business-critical use cases Lead by example write high-quality testable code and participate in architecture and design discussions with a long-term view in mind Decompose complex problems into modular efficient and scalable components that align with platform and product goals Champion best practices in data engineering including testing version control documentation and performance tuning Drive collaboration across teams working closely with product managers data scientists and other engineers to deliver high-impact solutions Support data governance and quality efforts ensuring data lineage cataloging and access management are built into the platform Continuously learn and apply new technologies frameworks and tools to improve team productivity and platform reliability Own and optimize cloud infrastructure components related to data engineering workflows storage processing and orchestration Participate in architectural discussions iteration planning and feature sizing meetings Adhere to Agile processes and participate actively in agile ceremonies Stakeholder management skills All About You 5 years of hands-on experience in data engineering with solid 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 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 Curious adaptable and driven by problem-solving and continuous improvement Good to have Experience integrating heterogeneous systems and building resilient data pipelines across cloud environments Familiarity with orchestration tools e g Airflow dbt Step Functions etc Exposure to data governance tools and practices e g Lake Formation Purview or Atlan Experience with containerization and infrastructure automation e g Docker Terraform will be a good addition Master s degree relevant certifications e g AWS Certified Data Analytics Azure Data Engineer or demonstrable contributions to open source data engineering communities will be a bonus Exposure to machine learning data pipelines or MLOps is a plus Corporate Security Responsibility All activities involving access to Mastercard assets information and networks comes with an inherent risk to the organization and therefore it is expected that every person working for or on behalf of Mastercard is responsible for information security and must Abide by Mastercard s security policies and practices Ensure the confidentiality and integrity of the information being accessed Report any suspected information security violation or breach and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines

📌 Senior Data Engineering (Maharashtra)
🏢 Mastercard
📍 Maharashtra