Title:  Lead Data Science/Data Engineering

Job Description

We are looking for a Data science/ data engineering leader who is passionate about building best in-class business / data analytical insights & recommendations by building data marts / lakes / warehouses for rapidly growing global data churning business.

Hands on in DATA ARCHITECTURE > than data visualization

Job Responsibilities

• Responsible for building organisation wide data aggregation, providing business, operations and financial insights and recommendations for growth and scalability.
• Lead the data insight’s function that will serve as the centre of excellence for, and create production platforms to implement, ML-Ops, Data Ops and related DevOps focused on creating ETL and ML pipelines and API’s in cloud-native environments.
• Provide expert technical guidance and mentorship in the domain of data engineering and ML pipelines to colleagues both within and outside the engineering organisation.
• Drive the technical direction of the platform and its integration with other services with reusability, testability, maintainability principles.
• Champion technical best practice on every new feature and existing ones.
• Collaboration with cross-functional teams across multiple disciplines.

Skills/ Experience

• Engineering or Equivalent Bachelor’s degree preferable from top engineering colleges.
• 6+ years of experience in developing ecommerce B2B/B2C data products/platforms.
• Should be an expert In Data Visualization Platforms. (PowerBI, Tableau, Data Studio)
• Should be an expert In Data Engineering Architecture (Warehouses, Lakes & Marts)
• Should be an expert In Big Data Technologies (NoSQL, Designs, Architectures, Compute)
• Able to work and thrive in a fast-paced, rapidly changing work environment
• Should have excellent communication skills, with an ability to convey ideas clearly & precisely
• Must have leadership skills & a good team player
• Must be pro-active & a self-starter