Assistant Manager - Data Engineering

Description

Kenvue is currently recruiting for:

Assistant Manager - Data Engineering

This position reports into Manager - Data Engineering and is based at Bangalore.

Who We Are

At Kenvue , we realize the extraordinary power of everyday care.

Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® and BAND-AID® that you already know and love.

Science is our passion; care is our talent.

Our global team is made up with 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers.

With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day.

We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours.

For more information, click here .

What You Will Do

The position is responsible for:

• 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

Key Responsibilities

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