Senior Data Engineer
Kenvue · Bengaluru
- Experience3–7 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted2 Sept 2026
About Kenvue
Kenvue is hiring in Bengaluru in consumer goods. This role looks for around 3+ years of experience.
Skills
- Snowflake
- Python
- Data Engineering
- Data Pipelines
- Data Modeling
- Cloud Architecture
- Apache Airflow
- Airbyte
- dbt
- GitHub
- GitHub Actions
- DevOps
- CI/CD
- Agile
- Data Management
- Data Quality
- DataOps
The role
A data engineer at a consumer goods company designs Snowflake data platforms and builds Python data pipelines for reliable analytics and product launches. The work applies Apache Airflow and DataOps to automate monitoring, integration, and data quality across enterprise systems.
Full job description
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 Snowflake and AWS Data Platform. In this position, you will also lead and inspire our cross-vendor Data Engineering team, driving key initiatives that shape the future of our organisation.
Responsibilities:
Develop, customise, and manage integration tools, databases, warehouses, and analytical systems.
Develop data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
Build automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.
Assist in implementation of best practices around systems integration, security, performance and data management.
Partner with the business, IT, and technical subject matter experts to develop robust solutions.
Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality.
Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change.
Test the reliability and performance of data engineering pipelines and support the testing team with data validation activities.
Partner with various Snowflake Engineering subject matter experts, including vendor partners, project managers and business teams, to scope and build customer-facing content, modules, tools and proof of concepts.
Research and cultivate state-of-the-art data engineering methodologies to develop into a Snowflake technology stack developer.
Requirements:
Bachelor's degree in engineering, computer science, or related field.
3 - 5 years of total work experience, with at least 4 years of experience in Python /Snowflake Data Engineering tool stack.
At least one key data engineering professional certification (e. g., SnowPro Associate and Core).
Experience with data management tools such as Airflow, Airbyte and DBT.
Good scripting, data modelling, 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 such as GitHub, GitHub Actions and DevOps practices for CI/CD pipelines.
Desired Qualifications:
Subject matter expert for Snowflake Data, Analytics & AI with experience Snowflake architecture design is preferred.
Good understanding of migration and modernisation strategies and approaches is preferred.
Experience with Python, EKS Implementations, Spark, Kafka, and/or Flask is preferred.