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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