Data Engineer

Loreal; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible hybrid work model

Wellbeing programs

Parental policies

Job summary

L'Oréal is hiring a Data Engineer to design and optimize data platforms on Google Cloud, building robust pipelines and analytics-ready datasets for global functions.

You will implement scalable data solutions, enforce governance and security, and work with cross-functional teams to enable AI/ML and BI initiatives. Hybrid work model offered with strong growth opportunities.

Qualifications

• Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.
• 4-6 years hands-on experience as a Data Engineer.
• Strong experience with Google Cloud Platform (GCP) is mandatory.
• Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer.
• Strong SQL and Python skills; experience building scalable data pipelines.
• Experience with Spark, Airflow/Cloud Composer, and data lake/warehouse architectures.
• Knowledge of CI/CD, Git, DevOps/DataOps, and Agile methodologies.

Responsibilities

• Design, build, and optimize scalable data pipelines and ETL/ELT processes.
• Create modern cloud data platforms, data lakes, and data warehouses.
• Ensure data quality, governance, security, and metadata management.
• Collaborate with cross-functional teams to translate requirements into data solutions.
• Improve workflow performance, scalability, and cost efficiency.
• Integrate data from enterprise systems, APIs, databases, and streams.
• Support analytics, BI, and AI/ML use cases with reliable datasets.
• Monitor, troubleshoot, and resolve production data issues.
• Follow DevOps/DataOps practices including CI/CD, automation, testing, and monitoring.
• Contribute to evolving global data strategy and architecture.

Skills

Degree requirements

GCP proficiency

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Cloud Composer

SQL

Python

ETL/ELT

Apache Spark

Airflow

Data lake / data warehouse

APIs / streaming data

Data governance & security

CI/CD / DevOps

Git / Agile

Communication skills

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

GCP services

Job description

Unleash Your Potential at L'Oréal's Beauty Tech!

Who Are We?

For 115 years, L’Oréal, the world’s leading beauty player, has devoted itself to one thing only: fulfilling the beauty aspirations of consumers around the world.

For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L'Oréal is the global industry leader. With 37 global beauty brands across four divisions, L'Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.

Today, L'Oréal includes more than 2,000 tech professionals and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.

Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L'Oréal continues to recruit diverse, innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.

A Day in the Life of Data Engineer!

As a Data Engineer, you will play a key role in enabling L'Oréal's data-driven transformation by designing, building, and optimizing scalable data solutions on the Google Cloud Platform (GCP). You will develop robust data pipelines, modern data platforms, and cloud-native data architectures that power analytics, reporting, AI, and business decision-making across global business functions.

In this role, You will..

Be responsible for the following:

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data.
• Build and manage modern cloud-based data platforms, data lakes, and data warehouses.
• Ensure data quality, integrity, governance, and security across data ecosystems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions.
• Optimize data workflows and processing performance to improve scalability and cost efficiency.
• Implement data integration solutions from multiple enterprise systems, applications, and external sources.
• Support analytics, BI, and AI/ML use cases by delivering reliable and accessible datasets.
• Monitor, troubleshoot, and resolve production issues related to data pipelines and platforms.
• Follow DevOps and DataOps best practices including CI/CD, automation, testing, and monitoring.
• Contribute to data architecture discussions and support the evolution of L'Oréal's global data strategy.

What are we looking for?

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4-6 years of hands-on experience as a Data Engineer.
• Strong experience working on Google Cloud Platform (GCP) is mandatory.
• Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and related GCP services.
• Strong expertise in SQL and advanced data modeling techniques.
• Proficiency in Python and experience developing scalable data pipelines.
• Experience building ETL/ELT solutions using cloud-native and modern data engineering frameworks.
• Strong hands-on experience with Apache Spark and distributed data processing technologies.
• Experience with orchestration tools such as Apache Airflow/Cloud Composer.
• Knowledge of data lake, data warehouse, and lakehouse architectures.
• Experience integrating data from enterprise applications, APIs, databases, and streaming platforms.
• Strong understanding of data quality, data governance, metadata management, and security best practices.
• Experience with CI/CD pipelines, Git, DevOps/DataOps practices, and Agile methodologies.
• Ability to troubleshoot complex data processing and performance issues in cloud environments.
• Strong communication and stakeholder management skills with experience working in global teams.

What’s In It for You?

• Working with cutting edge Technology, empowering employees with new age learning, global exposure, and opportunities to build future-ready careers.
• A flexible and modern workplace, enabling teams to perform at their best through a smart hybrid model that supports balance and autonomy. A 3 Day in Office, 2 Day Work from Home setup.
• Employee support at every life stage, with inclusive and progressive parental policies that help individuals and families thrive.
• Holistic wellbeing offerings - personalized health benefits and strong mental wellness support to ensure employees feel their best.
• Reward and Recognition opportunities, long-term incentives, and opportunities to share in L’Oréal’s collective success.
• L'Oreal is an Equal Opportunity Employer and takes pride in a diverse environment

Good to know: The Recruitment Process

1. Interview with HR
2. Technical Interview
3. Interview with the hiring manager

We would love to find out more about you as a candidate and we do not discriminate in recruitment, hiring, training, promotion, or other employment practices. The beauty we find in our differences gives us the freedom to go beyond. That’s the beauty of L’Oréal.