Enterprise Data & Analytics Integrations Engineer

Kenvue; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive Total Rewards Package

Paid Holidays & Vacation

Learning & Development Opportunities

Employee Resource Groups

Job summary

Kenvue is hiring an Enterprise Data & Analytics Integrations Engineer in Bangalore. You will build integration solutions, primarily APIs and event-driven architectures, to empower our Data & Analytics teams with timely data.

You will partner with Data Product Owners to enable Integrations as a Product and drive findability, accessibility, interoperability, and reusability across the integration landscape. You will collaborate with platform and product owners to craft strategies, implement DevOps

Qualifications

• Bachelor's degree in engineering, computer science, or related field.
• 3–5 years total work experience, with 1–2 years APIs and Event-Driven Architectures.
• Hands-on Python programming skills.
• Experience with Microsoft Azure or AWS and data management tools (Azure Data Factory, Data Lake, Synapse, Databricks, Snowflake).
• Understanding of cloud architecture principles and best practices.
• Experience in end-to-end solutions meeting business requirements with scalability, reliability, security.

Responsibilities

• Partner with cross‑vendor teams to build and deliver integration solutions for Data Products, aligning with findability, accessibility, interoperability, and re-usability goals.
• Craft an integration strategy focused on Data & Analytics use cases to simplify the integration landscape and standardize technologies.
• 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.
• Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality.
• Develop hybrid integration solutions addressing data and application integration needs (cloud-to-cloud, cloud-to on-prem, etc.).
• Identify and eliminate redundancies and optimize cost through technology lifecycle management and TCO.

Skills

APIs

Event-Driven Architectures

Python

Azure or AWS

Data Management Tools

Education

Bachelor's degree in engineering or computer science

Tools

Azure Data Factory

Azure Data Lake

Azure Synapse

Databricks

Snowflake

Bitbucket

Jenkins

Job description

Enterprise Data & Analytics Integrations Engineer

Location: Bangalore, India (Fully Onsite, Asia Pacific, India, Karnataka, Bangalore)

Role Reports To: Manager, Integration Products

Travel %: up to 10%

What You Will Do

As the Integration Engineer, you will build and prototype integration solutions, primarily APIs and Event-Driven Architectures, to empower our Data & Analytics teams with timely and relevant data. You’ll partner with our Data Product Owners to enable and elevate Integrations as a Product, in order to drive more findability, accessibility, interoperability and re-usability within the integration landscape.

Key Responsibilities

• Partner with a cross-vendor team of platform & product owners, technical experts, & other specialists to build and deliver integration solutions for Data Products, in order to optimize upon investments and aligning integrations against findability, accessibility, interoperability and re-usability goals
• Partner with the Director of Integration Products to craft an integration strategy, with a focus on Data & Analytics use cases, to address immediate challenges, simplify integration landscape, utilize common patterns and standard technologies
• 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
• Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality
• Implement hybrid integration solutions addressing data and application integration needs, and cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise scenarios
• Continuously search for ways to eliminate redundancies & inefficiencies while streamlining costs to reinvest in new innovations through technology lifecycle management & total cost of ownership

Required Qualifications

• Bachelor's degree in engineering, computer science, or related field.
• 3-5 years of total work experience, with at least 1-2 years of experience in APIs and Event-Driven Architectures.
• Hands-on Python programming skills.
• Experience with Microsoft Azure or AWS and data management tools such as Azure Data Factory, Data Lake, Synapse, Databricks, and Snowflake.
• 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

• Experience with APIs and Event-Driven Integrations with experience in Azure architecture design is preferred.
• Good understanding of migration and modernization strategies and approaches is preferred.
• Experience in the architecture and design of services using Azure architecture is a plus.
• Experience with IoT integrations is a plus.
• Experience with Kong API gateway, Kafka, and/or Python FastAPI is preferred.

What’s In It For You

• Competitive Total Rewards Package*
• Paid Company Holidays, Paid Vacation, Volunteer Time & More!
• Learning & Development Opportunities
• Employee Resource Groups
• This list could vary based on location/region.
• Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

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.

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.