Data Engineer 2 - Product Data & Analytics

Job Description

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 2 - Product Data & Analytics Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they brings to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to develop and maintain data pipelines on large volumes of data in order to support analytics and reporting needs across products, markets and services. Support cross-functional projects using advanced data engineering and analysis techniques to enable data for insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, ETL / data pipelines, data automation systems, datalakes, data warehouse that support key business decisions. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Create reusable processes to support development of data ingestion, data transformation, data quality and testing frameworks. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Recruit, train, develop and supervise data engineer & analyst-level employees. All About You Experience in data engineering, data management, data product development and quantitative analysis Financial Institution or a Payments experience a plus Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience in building data pipelines, data lakehouses, data warehouses. Experience on Platforms/Environments: Databricks, Cloudera Hadoop, Big data technology stack and SQL Server Experience with cloud platforms such as AWS or Azure. Experience with Pyspark, Python and Hive. Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Experience presenting data findings in a readable and insight driven format. Experience building support decks. Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor?s or master?s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously 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.