Job
Description
Play a large role in the implementation of complex features Lead collaboration with data scientists to understand the existing modeling pipeline and identify optimization opportunities. Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling. Push the boundaries of analytics and powerful, scalable applications Design and develop data pipelines to automate repetitive tasks within data science and data engineering. Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems. Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams. Create data products that are we'll-modeled, thoroughly documented, and easy to understand and maintain. Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate Qualifications: 10+ years of Engineering experience primarily in Data Engineering in an agile production environment High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Oozie, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms Extensive experience with Spark Processing engine. Proficiency in, at least, one modern programming language such as Python, Java or Scala Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it Working Knowledge in Software Development engineering Paradigms along with Data Engineering. Relational Databases as we'll as NoSQL experience Experience in cloud technologies like Databricks/AWS/Azure Basic Shell scripting and knowledge of Linux/Unix systems Experience in designing & developing software at scale Strong written and verbal English communication skills. Motivation, creativity, self-direction, and desire to thrive on small project teams Superior academic record with a degree in Computer Science or related technical field Strong written and verbal English communication skills Mastercard priceless - Experiences make life more meaningful. Exclusive to Mastercard cardholders, priceless.com provides access to unforgettable experiences and everyday value in the cities where you live and travel.
