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8.0 - 13.0 years

8 - 13 Lacs

Pune, Maharashtra, India

On-site

Foundit logo

Dynamic Yield, a Mastercard company, is seeking an innovative Senior Software Engineer to lead the technical design and development of our Analytic Foundation . This foundation is a suite of individually commercialized analytical capabilities (such as prediction-as-a-service, matching-as-a-service, or forecasting-as-a-service), supported by a comprehensive data platform. These services will be delivered through a series of APIs, providing data and insights from a central data store. You'll partner closely with other business areas to build and enhance solutions that deliver significant value to our customers. Our engineering teams are small, flexible, and collaborative; every member contributes to designing, building, and testing features. The work spans from creating intuitive UIs to designing backend data models and architecting data flows. If you're passionate about pushing the boundaries of analytics and building scalable applications, we encourage you to join our new, fast-growing engineering team! Position Responsibilities As a Senior Software Engineer, you will: Feature Ownership: Play a significant role in the scoping, design, and implementation of complex features, pushing the boundaries of analytics and scalable applications. UI/UX Development: Design and implement intuitive, responsive UIs that empower users to better understand data and analytics. Data & Analytics Engineering: Build and maintain analytics and data models to enable performant and scalable products. Code Quality: Ensure a high-quality codebase by writing and reviewing performant, well-tested code. Mentorship & Process Improvement: Mentor junior software engineers and teammates. Drive innovative improvements to team development processes. Collaboration: Partner with Product Managers and Customer Experience Designers to deeply understand users and use cases, applying that knowledge to scope and build new modules and features. Collaborate across teams with exceptional peers who are passionate about their work. Ideal Candidate Qualifications Experience: 5+ years of full-stack engineering experience in an agile production environment. Leadership & Design: Experience leading the design and implementation of large, complex features in full-stack applications. Business Acumen: Ability to easily move between business, data management, and technical teams; quickly intuiting the business use case and identifying technical solutions. Mentorship: Experience coaching and mentoring junior teammates. Technical Leadership: Experience leading a large technical effort that spans multiple people and teams. Core Technologies: Proficiency with Java/Spring Boot, .NET/C#, SQL Server , or other object-oriented languages, front-end frameworks, and/or relational database technologies. Big Data Exposure: Some proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Sqoop), and SQL to build Big Data products & platforms. Data-Driven Applications: Some experience in building and deploying production-level data-driven applications and data processing workflows/pipelines, and/or implementing machine learning systems at scale in Java, Scala, or Python. Adaptability: Strong technologist with a proven track record of learning new technologies and frameworks. Customer Focus: A customer-centric development approach. Problem Solving: Passion for analytical / quantitative problem-solving. Process Improvement: Experience identifying and implementing technical improvements to development processes. Collaboration Skills: Strong collaboration skills with experience working with people across various roles and geographies. Work Ethic: Motivation, creativity, self-direction, and a desire to thrive on small project teams. Education: Superior academic record with a degree in Computer Science or a related technical field. Communication: Strong written and verbal English communication skills. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. 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. Complete all periodic mandatory security training in accordance with Mastercard's guidelines.

Posted 22 hours ago

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8.0 - 13.0 years

8 - 10 Lacs

Pune, Maharashtra, India

On-site

Foundit logo

Dynamic Yield, a Mastercard company, is a global technology company that powers the world's fastest payments processing network. Our Mastercard Services organization is a key differentiator, providing cutting-edge solutions used by some of the world's largest organizations to make multi-million-dollar decisions and grow their businesses. Our Advanced Analytics program, a new and rapidly growing initiative, offers products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. We are looking for an innovative Lead Data Engineer to drive the technical design and development of an Analytic Foundation . This foundation will be a suite of individually commercialized analytical capabilities, including a comprehensive data platform delivered via APIs. You will partner closely with other business areas to build and enhance solutions that deliver significant value to our customers, working in small, flexible teams with a focus on end-to-end contribution from UI to data architecture. Position Responsibilities As a Lead Data Engineer within the Advanced Analytics team, you will: Data Science Collaboration: Lead collaboration with data scientists to understand existing modeling pipelines and identify optimization opportunities. Data Integration & Management: Oversee the integration and management of data from various sources and storage systems, establishing robust processes and pipelines to produce cohesive datasets for analysis and modeling. User-Centric Development: Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases, applying that knowledge to scope and build new modules and features. Automation & Optimization: Design and develop data pipelines to automate repetitive tasks within data science and data engineering. 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. Cross-Functional Leadership: Demonstrate experience leading cross-functional teams or working across different teams to solve complex problems. Data Product Creation: Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain. Project Leadership: Be comfortable leading projects in environments with undefined or ambiguous requirements. Mentorship: Mentor junior data engineers, fostering their growth and skill development. Ideal Candidate Qualifications Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Big Data Expertise: High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Oozie, Airflow, NiFi, Sqoop), and SQL to build Big Data products & platforms. Spark Proficiency: Extensive experience with the Spark Processing engine . Programming Languages: Proficiency in at least one modern programming language such as Python, Java, or Scala . Computer Science Fundamentals: Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Business Acumen: Ability to easily move between business, data management, and technical teams; quickly intuiting the business use case and identifying technical solutions to enable it. Software Development Knowledge: Working Knowledge in Software Development engineering Paradigms along with Data Engineering. Database Experience: Experience with both Relational Databases and NoSQL databases. Cloud Technologies: Experience in cloud technologies like Databricks/AWS/Azure . Scripting & Systems: Basic Shell scripting and knowledge of Linux/Unix systems. Scalable Software Design: Experience in designing & developing software at scale. Communication: Strong written and verbal English communication skills.

Posted 23 hours ago

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