Posted on: 14/10/2026
Data Engineer
Experience : 8+ Years
Location : Chennai / Bangalore / Coimbatore / Pune
Work Mode : Hybrid
About the Role :
At KANINI, we are committed to building an environment where people can bring their best selves to work. We are looking for an experienced Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. You will work with GCP, BigQuery, and modern data engineering technologies to ensure reliable data integration, processing, and accessibility across business functions, including Healthcare and Financial Services.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines using GCP services and BigQuery.
- Implement workflow orchestration and scheduling using Apache Airflow.
- Develop data processing and automation solutions using Java or Python.
- Build and optimize ETL/ELT pipelines for large-scale data processing.
- Design and maintain data models, data warehouses, and database solutions.
- Ensure data quality, governance, security, and compliance across projects.
- Optimize query performance, pipeline efficiency, and data processing workflows.
- Support cloud migration and data platform modernization initiatives.
- Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions.
- Follow Agile methodologies and engineering best practices.
Required Skills :
- 8+ years of experience in Data Engineering or related fields.
- Strong hands-on experience with Google Cloud Platform (GCP) and BigQuery.
- Experience with Apache Airflow for workflow orchestration.
- Proficiency in Python or Java for data processing and automation.
- Strong understanding of ETL/ELT, data modeling, and database optimization.
- Experience building and maintaining scalable data pipelines.
- Knowledge of data quality, governance, and cloud data architecture.
- Strong problem-solving, communication, and stakeholder management skills.
- Experience working in Agile delivery environments.
Good to Have :
- Experience in the Healthcare domain.
- Exposure to cloud migration and modernization projects.
- Experience with large-scale data platforms and distributed processing systems.
Why Join KANINI?
- Work on impactful data engineering projects across industries.
- Collaborate with teams working on Cloud, AI, Data Analytics, IoT, and Telehealth.
- Access career growth and mentorship opportunities.
- Be part of a collaborative, people-first culture focused on innovation.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1678315