Cornerstone is hiring Data Engineer for its Hyderabad, Telangana, India location. This opportunity is suitable for candidates with a Bachelor’s or Master’s Degree who want to build a career in data engineering, big data systems, and analytics platforms. Both freshers and experienced professionals can apply for this role.
Cornerstone (Cornerstone OnDemand) is a global leader in cloud-based talent management and learning solutions, helping organizations manage workforce performance and learning through advanced technology platforms.
Job Overview
- Company: Cornerstone
- Position: Data Engineer
- Location: Hyderabad, Telangana, India
- Qualification: Bachelor’s / Master’s Degree
- Experience: Freshers / Experienced
- Job Type: Full-Time
- Domain: Data Engineering / Analytics
This role focuses on building and maintaining scalable data systems and pipelines.
About the Role
The Data Engineer role involves designing, developing, and maintaining data pipelines that support analytics and business intelligence systems. Engineers work with large datasets to ensure efficient data processing and integration across systems.
Professionals in this role collaborate with data scientists, analysts, and engineering teams to build reliable data infrastructure. The role also includes optimizing data workflows, ensuring data quality, and supporting data-driven decision-making processes.
This position provides exposure to cloud-based data platforms, big data technologies, and enterprise analytics systems.
Role Overview
Data Engineers at Cornerstone are responsible for creating data pipelines that collect, transform, and store data from multiple sources. The role involves working with databases, ETL processes, and distributed data systems.
Engineers also focus on improving data system performance, ensuring scalability, and supporting analytics use cases. The role requires strong technical skills in programming, databases, and data processing tools.
Key Responsibilities
- Design and build scalable data pipelines and ETL processes
- Collect, process, and transform large datasets
- Ensure data quality, consistency, and reliability
- Work with cross-functional teams to support analytics requirements
- Optimize data workflows for performance and scalability
- Integrate data from multiple sources into centralized systems
- Monitor and troubleshoot data-related issues
- Support business intelligence and reporting systems
Required Skills
- Strong knowledge of SQL and database management
- Programming skills in Python, Java, or similar languages
- Understanding of ETL processes and data pipeline development
- Familiarity with big data technologies and distributed systems
- Knowledge of cloud platforms such as AWS, Azure, or GCP
- Understanding of data warehousing and data modeling concepts
- Strong analytical and problem-solving skills
These skills help engineers build efficient and scalable data systems.
Eligibility Criteria
- Bachelor’s or Master’s Degree in Computer Science, IT, Data Science, or related field
- Fresh graduates or experienced candidates may apply
- Strong interest in data engineering and analytics
- Knowledge of programming and database concepts
Candidates with project experience in data engineering or analytics will have an advantage.
Career Growth Opportunities
Starting as a Data Engineer at Cornerstone can lead to several advanced roles:
- Senior Data Engineer
- Data Architect
- Big Data Engineer
- Machine Learning Engineer
- Analytics Engineer
Professionals gain experience working with enterprise-scale data systems and cloud platforms.
Why Join Cornerstone
- Work with a global SaaS company in talent and learning solutions
- Exposure to modern data engineering technologies
- Opportunity to work on cloud-based platforms and analytics systems
- Strong learning and development programs
- Collaborative work environment with global teams
Cornerstone provides a strong platform for professionals interested in data engineering and analytics systems.
How to Apply
Follow these steps to apply for the Cornerstone Data Engineer role:
- Visit the official Cornerstone careers page using the link below.
- Review the job description and eligibility requirements.
- Click the Apply Now button on the job page.
- Create or log in to your candidate profile.
- Fill in your personal and academic details.
- Upload your updated resume and required documents.
- Submit your application and wait for the recruitment team’s response.
This opportunity is ideal for candidates interested in data engineering, big data processing, and cloud analytics platforms, offering valuable experience working with enterprise data systems at Cornerstone
