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Lead Data Engineer

8-13 Years
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  • Posted 22 hours ago
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Job Description

  • As a Lead Data Engineer within Advanced Analytics team, you will:
  • 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.
  • 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
  • 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 well-modeled, thoroughly documented, and easy to understand and maintain.
  • Comfortable leading projects in environments with undefined or ambiguous requirements.
  • Mentor junior data engineers

  • Ideal Candidate Qualifications:
  • 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 well 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.

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Open to candidates from:
Indian

About Company

Dynamic Yield by Mastercard enables teams to build personalized, optimized, and synchronized digital customer experiences, enhancing revenue and customer loyalty.

Job ID: 118929929

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