Lead Data Engineer

3 weeks ago


Bengaluru, Karnataka, India Papa Johns Global Capability Center Full time
Papa Johns Global Capability Center: Lead Data Engineer

We are seeking a highly skilled Lead Data Engineer to join our team at Papa Johns Global Capability Center. As a key member of our data analytics team, you will be responsible for developing and implementing strategies for our data layer, working closely with multiple disciplines to deliver robust Business Intelligence solutions.

Key Responsibilities:

  • Develop and implement data pipelines, data lakes, and data warehouses to support business decisions
  • Design and implement data modeling, data ingestion, and data warehouse design strategies
  • Research and implement new technologies to improve data analytics capabilities
  • Set standards for database operations, programming, queries, and security
  • Provide support and guidance to data engineers and senior data engineers
  • Develop and maintain optimal data pipeline architecture
  • Assemble large, complex data sets to meet business requirements
  • Build infrastructure for optimal extraction, transformation, and loading of data from various sources
  • Create data tools for analytics and data scientist team members

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 8+ years' experience working as an analytics engineer, data scientist, data engineer, or related field
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
  • 8+ years' experience hands-on development with frameworks such as Python, Java, Scala
  • Must have experience in each of the following skills: Python; Google Big Query, Google Storage, Cloud Composer and Dataflow; Google Pub Sub; SQL; Ansible; Tableau APIs; and Jenkins, and Shell Scripting

Preferred:

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience in Scala, Python, Pyspark, Java, Rest API, Microservices, etc.

Experience in Restaurant or Retail Operations preferred.


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