Assistant Manager Digital

Description

LEAD ENGINEER (DIGITAL)

Location: Bangalore

Skills Required: Azure Data Factory, Data bricks, SQL , Azure MLOPS, Azure Devops.

Python, Pyspark, Scala

Good scripting and programming skills.

Experience : 5 to 9 years

A bout Kenvue :

Kenvue is the world's largest pure-play consumer health company by revenue.

Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson's®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world.

At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers' hands and earn a place in their hearts and homes.

Position Summary



* Subject Matter Expert for Azure Data, Analytics & AI with experience Azure architecture design preferred.

Good understanding of migration and modernization strategies and approaches.


* Helping business migrate and/or build Data, Analytics & AI workloads throughout their Azure journey towards production and expanding the azure infrastructure usage


* Partnering with various Azure Engineering subject matter experts including the project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts


* Staying current on latest Azure/Cloud innovations in order to conduct experiments, drive product improvement, and act as an Azure subject matter trainer for other engineers


* Development, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related instruments/instances


* Create and run complex queries and automation scripts for operational data processing


* Test the reliability and performance of each part of a system and cooperate with the testing team


* Deploying data models into production environments.

This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.


* Responsible for setting up tools to view data, generate reports, and create visuals


* Monitoring the overall performance and stability of the system.

Adjust and adapt the automated pipeline as data/models/requirements change.


* Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.


* As per organizational & project priority responsibilities can be added later

Tasks/Duties/Responsibilities



* Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.


* Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.


* Responsible for implementing best practices around systems integration, security, performance and data mana...