Sr. Analyst, Data Engineering

Sr. Analyst, Data Engineering-2507033470W

Description

 

Kenvue is currently recruiting for:

Sr. Analyst, Data Engineering

This position reports to the Manager, Data Engineering and is based at Bangalore, India.

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® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the 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.

Role reports to: Manager, Data Engineering

Location: Bangalore, India

Travel %: up to 10%

 

What you will do 

As the Sr. Analyst, 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

·         Adhere to 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

·         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

 

What We Are Looking For

Required Qualifications

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

·         4 – 6 years of total work experience, with at least 2 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)

·         SQL Experience is required

·         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 expertise on Azure Data, Analytics & AI with experience in 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 

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.

 

Qualifications

 

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

 

Primary Location

 Asia Pacific-India-Karnataka-Bangalore

Job Function

 Digital Product Development