Manager - Data Engineering

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 Manager - Data Engineering Job Description Product Data & Analytics Team Manager – Data Engineering 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 architect, develop, and maintain data pipelines on large volumes of data in order to support analytics and reporting needs across products, markets and services. • Lead 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. • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage • 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 • Anal ... (truncated, view full listing at source)