Lead, Data Engineering

Lead, Data Engineering-2507031348W

Description

 

Kenvue is currently recruiting for:

Lead, 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 

As the Lead, Data Engineering, you will play a pivotal role in designing and prototyping cutting-edge solutions that empower our operations with timely and relevant data. You'll explore new tools and build cost-effective solutions using the powerful Azure Data Platform and Azure Databricks. In this position, you will also lead and inspire our cross-vendor Data Engineering team, driving key initiatives that shape the future of our organization.

 

Key Responsibilities

·    Develop, customize, and manage integration tools, databases, warehouses, and analytical systems

·    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 capture metrics and operational KPIs for data pipeline quality and performance

·    Implement best practices around systems integration, security, performance and data management

·    Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions

·    Partner with the business, IT, and technical subject matter experts to ensure execution of enterprise-wide data engineering products & platform development

·    Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality

·    Deploy data models into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.

·    Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change

·    Work with the Data Asset and Capability teams to identify the right data sources and finalize the data architectures for optimal data extraction and transformation

·    Test the reliability and performance of data engineering pipelines and support testing team with data validation activities

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

·    Research and cultivate in state-of-the-art data engineering methodologies, drive product innovation, and act as an Azure subject matter expert for other engineers

·    Mentor and train colleagues junior team members

Qualifications

 

What We Are Looking For

Required Qualifications

·       Bachelor's degree in engineering, computer science, or related field.

·       6 – 8 years of total work experience, with at least 4 years of experience in Azure Data Engineering tool stack

·       At least one key data engineering professional certification (e.g., Azure Data Engineering, Azure Data Fabric, Databricks Data Engineering, etc.)

·       Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, Data Lake, Synapse, Databricks (Pyspark)

·       Good scripting, data modeling and programming skills

·       Understanding of cloud architecture principles and best practices

·       Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards

·       Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines

 

 

Desired Qualifications

·    Subject matter expert for Azure Data, Analytics & AI with experience Azure architecture design is preferred

·    Good understanding of migration and modernization strategies and approaches is preferred

·    Experience with Spark, Kafka, and/or Flask is preferred

·    Experience in the architecture and design of services using Azure architecture is a plus

 

What’s In It For You

·    Competitive Benefit Package

·    Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More!

·    Learning & Development Opportunities

·    Employee Resource Groups 

·    This list could vary based on location/region

 

Kenvue is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

 

Primary Location

 Asia Pacific-India-Karnataka-Bangalore

Job Function

 Digital Product Development