is hiring for the role of Data Engineer – Analytics, Insights and Measurement in Bengaluru, India. This role is part of Google’s data and analytics teams, where engineers build scalable data systems, pipelines, and platforms that support business insights and measurement at a global level.
Job Overview
- Company: Google
- Position: Data Engineer – Analytics, Insights and Measurement
- Qualification: Bachelor’s Degree
- Experience: Experienced
- Location: Bengaluru, India
- Job Type: Full-Time
- Domain: Data Engineering / Analytics / Big Data
What This Role Is Really About
This role focuses on designing and building data infrastructure that enables analytics and decision-making. You will work on systems that process large volumes of data and convert them into meaningful insights for business and product teams.
The role combines:
- Data engineering
- Data modeling
- Analytics support
You are not just analyzing data—you are building the systems that make analysis possible.
Role Context & Business Impact
The Analytics, Insights and Measurement team at Google works on understanding:
- User behavior
- Product performance
- Business metrics
Your work ensures that data is:
- Accessible
- Reliable
- Scalable
This allows teams to make data-driven decisions at scale.
Core Responsibilities
- Design and build scalable data pipelines and systems
- Develop and maintain data infrastructure
- Transform raw data into structured formats for analysis
- Work with large datasets using distributed systems
- Collaborate with analysts, product teams, and stakeholders
- Ensure data quality, consistency, and reliability
What You’ll Actually Be Doing
Your daily work will involve:
- Writing and optimizing data pipelines
- Processing large-scale datasets
- Building data models and structures
- Supporting analytics teams with reliable data
You will spend most of your time on data processing, system design, and optimization.
Data Systems & Technologies
You will work with:
- Large-scale distributed data systems
- SQL-based data processing
- Data warehousing solutions
- Cloud-based data platforms
The focus is on handling high-volume, high-velocity data efficiently.
Technical Skills Expected
- Strong programming skills (Python / Java / SQL)
- Experience with data pipelines and ETL processes
- Understanding of data modeling and database design
- Knowledge of distributed systems and big data technologies
- Problem-solving and system design skills
Analytical Thinking in This Role
Even though this is an engineering role, you need to:
- Understand business requirements
- Translate them into data systems
- Ensure data supports accurate analysis
You must think about:
- Data accuracy
- Data flow
- Data usability
Work Environment & Engineering Culture
Google operates in a highly collaborative and engineering-driven environment, where:
- Systems are built at global scale
- Teams work across different domains
- Innovation and optimization are continuous
You will work with teams that rely heavily on data for decision-making.
A Realistic Day in This Role
- Work on data pipeline development
- Optimize queries and processing systems
- Collaborate with analysts and product teams
- Debug data-related issues
- Improve system performance
Your day is focused on building and maintaining data systems.
What Makes This Role Different
You are not just analyzing dashboards.
You are:
- Building infrastructure that powers analytics
- Handling large-scale data systems
- Supporting decision-making across products
Who This Role Is Best For
- Candidates with experience in data engineering
- Those strong in coding and data systems
- Those interested in analytics and big data
- Those comfortable working on large-scale systems
Growth You Can Expect
- Move into Senior Data Engineer roles
- Work on advanced data platforms
- Gain expertise in big data technologies
- Transition into data architecture or leadership roles
Why This Role Is Valuable
- Work at global scale with real data
- Exposure to advanced data engineering systems
- Strong career growth in high-demand domain
- Opportunity to work on impactful projects
Long-Term Value of This Experience
Working at Google helps you:
- Build deep expertise in data engineering
- Understand large-scale data systems
- Gain experience in high-performance environments
This opens opportunities in:
- Big tech companies
- Data engineering leadership roles
- Advanced analytics and AI systems
How to Apply
Apply link below apply there
Before applying:
- Ensure strong knowledge of SQL, data modeling, and ETL pipelines
- Highlight experience with big data or cloud platforms
- Prepare for coding + system design interviews
- Focus on projects involving large-scale data processing
- Be ready to explain how you handled real data problems and optimizations
