Senior Data Engineer, Data Engineering

Mastercard is hiring a Senior Data Engineer, Data Engineering 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 Senior Data Engineer, Data Engineering

Responsibilities

We are seeking a Senior Data Engineer, Data Engineering who will:

• Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets.

. Leveraging platform like Cloudera Data Engineering (CDE), Cloudera AI (CAI), Databricks, AWS to deliver the product engineering solutions.

• Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value.
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
• Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements.
• Integrate new data assets which increase the value proposition for our customers and enhance our existing solutions and services.
• Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth
• Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements.
• Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.

All about You

• Good understanding of Python – Pandas, Numpy, PySpark and Impala.
• Experience in doing data analysis, development, testing on Hadoop and Databricks Cloud platform.
• Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
• Experience (Good to have) with data integration tools – ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)
• Experience with Graph Database is a plus.

About Mastercard

The AI Network Services Team (AI & Decision Product Enablement Program) is responsible for innovative product engineering of products and services to address the evolving risk and security needs of all of Mastercard’s various customer segments. Team focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team