If you’re aiming to build a career in data engineering with modern cloud tools and real-world impact, Cornerstone OnDemand is hiring for the Data Engineer role in Hyderabad.
This opportunity is ideal for candidates who are passionate about working with data pipelines, ETL processes, cloud platforms, and machine learning systems. With exposure to cutting-edge tools like Snowflake, Airflow, and dbt, this role offers strong career growth in the data engineering domain.
About the Company
Cornerstone OnDemand is a global leader in workforce agility and talent management solutions. Its AI-powered platform helps organizations manage skills, training, and employee development across 180+ countries.
With over 7,000 organizations using its solutions, Cornerstone provides a highly scalable and data-driven environment, making it an excellent place for engineers who want to work on large-scale systems.
Role Overview
As a Data Engineer, you will be responsible for building and maintaining data pipelines, ETL workflows, and cloud-based data infrastructure. You will work closely with data scientists and business teams to transform raw data into actionable insights.
This role requires strong technical expertise in SQL, Python, cloud platforms, and data tools, along with the ability to handle large datasets and optimize performance.
Responsibilities
- Design and maintain batch and real-time data pipelines
- Build and optimize ETL processes for multiple data sources
- Automate data workflows like ingestion and aggregation
- Prepare clean datasets for analytics and business use
- Collaborate with data scientists to deploy machine learning models
- Develop and manage cloud-based data solutions (AWS, Azure, GCP)
- Ensure data quality, security, and compliance
- Monitor system performance and optimize data infrastructure
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | Bachelor’s in Computer Science / IT / related field |
| Experience | Typically 1–4 years (not ideal for absolute beginners) |
| Location | Hyderabad (Office-based) |
| Skills | Data Engineering, SQL, Cloud |
| Eligibility | Must have relevant technical experience |
Salary (Market Estimate) 💰
For the Cornerstone Data Engineer role in Hyderabad, the expected salary range is:
- Entry-Level (1–2 yrs): ₹8 LPA – ₹15 LPA
- Mid-Level (2–4 yrs): ₹15 LPA – ₹25 LPA
- Experienced (4+ yrs): ₹25 LPA – ₹35 LPA
👉 Estimated average salary: ₹18–22 LPA total compensation
Preferred Skills
- Strong SQL and database design knowledge
- Experience with Snowflake, dbt, Airflow, Fivetran
- Proficiency in Python, Java, Scala, or C++
- Knowledge of ETL tools and data pipelines
- Experience with cloud platforms (AWS, Azure, GCP)
- Understanding of big data tools (Spark, Hadoop)
- Familiarity with NoSQL databases like MongoDB or Cassandra
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Quick Insight 📊
- Strong product-based company salary range
- High demand role due to data + cloud + AI combination
- Faster growth compared to traditional software roles
- Opportunity to transition into Data Scientist / ML Engineer roles
What You’ll Get
- Work with modern tools like Snowflake, Airflow, dbt
- Exposure to cloud and large-scale data systems
- Opportunity to work on machine learning pipelines
- High career growth in data engineering domain
- Collaborative and global work environment
How to Apply
To improve your chances of selection, make sure your profile highlights real-world data experience:
- Include projects involving ETL pipelines, SQL, or data processing
- Showcase experience with cloud platforms or big data tools
- Highlight any work with Python and data libraries
- Demonstrate understanding of data workflows and architecture
Prepare for interviews by focusing on:
- SQL queries and optimization
- Data structures and algorithms
- ETL concepts and pipeline design
- Basics of cloud and distributed systems
To apply, click the apply button provided with the job listing and follow the instructions carefully.
Disclaimer
This job information is collected from official or public sources. We do not charge any fees for job applications and do not provide recruitment guarantees. We are not responsible for any loss or damage arising from reliance on this information.
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