Senior Data Engineer
Posted on: 18 Sep 2021
San Francisco, CA
Job Description
Our Purpose
We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Job Title
Senior Data EngineerHave you ever wondered how do you see offers on your credit card based on your past purchase? If you wanted to find the answer do join our team.
We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools. As a Data Engineer, you will develop a clear sense of connection with our platform - as Data Engineering is the eyes through which they see the product.
Data Engineer Responsibilities
Lead day to day system development and maintenance activities of the team to meet service level agreements and create solutions with high level of innovation, cost effectiveness, high quality and faster time to market.
Support code versioning, and code deployments for Data Pipelines.
Ensure test coverage for unit testing and support integration and performance testing.
Contribute ideas to help ensure that required standards and processes are in place.
Research and evaluate current and upcoming technologies and frameworks.
Build data expertise and own data quality for your areas.
Minimum Qualifications
Extensive Java/Scala development experience.
Extensive experience with SQL.
Strong experience with Spark Processing engine.
Strong experience with Big data tools / technologies (Hive, Impala, OOZIE, Airflow, NIFI)
Strong experience with Data Modeling.
Experience in Kafka and PCF (Pivotal Cloud Foundry)
Experience analyzing data to discover opportunities and address gaps.
Experience working with cloud or on-prem Big Data platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
Mastercard
Purchase, NY
Mastercard Incorporated, a technology company, provides transaction processing and other payment-related products and services in the United States and internationally. It facilitates the processing of payment transactions, including authorization, clearing, and settlement, as well as delivers related products and services.
The company offers integrated products and services for account holders, merchants, financial institutions, businesses, governments, and other organizations, such as programs that enable issuers to provide consumers with credits to defer payments; payment products and solutions that allow its customers to access funds in deposit and other accounts; prepaid payment programs and management services; and commercial payment products and solutions.
It also provides value-added products and services comprising safety and security products, loyalty and reward programs, information and analytics services, consulting services, and issuer and acquirer processing services. The company offers payment solutions and services under the MasterCard, Maestro, and Cirrus brands.
Mastercard Incorporated has a strategic alliance with Finexio; and a strategic partnership with Network International to develop electronic payments in Africa and the Middle East. The company was founded in 1966 and is headquartered in Purchase, New York.
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IndustryBanking/Financial Services
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No. of Employees14, 800
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Website
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Jobs Posted702
