Lead Data Engineer
First seen by Alion on Aug 11, 2026.
About the Role :
We are looking for an experienced Data Engineer with strong expertise in Google Cloud Platform (GCP) technologies to design, develop, and optimize scalable data solutions. The ideal candidate should have hands-on experience in building enterprise-grade data pipelines using Dataflow, BigQuery, and Java, along with a strong understanding of cloud-based data architectures.
Location : Chennai / Bangalore / Pune / Coimbatore (Hybrid)
Key Responsibilities :
- Design and develop scalable batch and real-time data pipelines on GCP.
- Build and optimize ETL/ELT workflows using Dataflow and BigQuery.
- Develop robust data processing applications using Java.
- Implement data ingestion, transformation, validation, and monitoring frameworks.
- Work closely with business stakeholders, architects, and analytics teams to understand data requirements.
- Ensure high performance, scalability, security, and reliability of data platforms.
- Optimize BigQuery performance and cost efficiency.
- Participate in code reviews, debugging, troubleshooting, and production support activities.
- Collaborate with cross-functional teams in Agile development environments.
Required Skills :
- Strong experience in Google Cloud Platform (GCP).
- Hands-on expertise in : Dataflow, BigQuery, Java.
- Strong knowledge of data engineering concepts, ETL pipelines, and distributed data processing.
- Experience in handling large-scale structured and unstructured datasets.
- Familiarity with cloud-native architecture and data warehousing concepts.
- Strong SQL and performance tuning skills.
- Experience with CI/CD pipelines and version control systems.
- Excellent problem-solving and communication skills.
Good to Have :
- Experience with Pub/Sub, Cloud Composer, or Dataproc.
- Exposure to real-time streaming pipelines.
- Knowledge of DevOps and Infrastructure as Code practices.
- Experience working in Healthcare or BFSI domains.
Why Join KANINI?
- People-first culture with diversity and inclusion at its core.
- Recognized as a Great Place to Work.
- Join KANINIs award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025.
- Exposure to cutting-edge technologies : AI, Data Analytics, Cloud, IoT, Telehealth.
- Opportunities for career growth, mentorship, and impactful projects in Healthcare and BFSI domains.
Ready to Make an Impact?
- Contribute to impactful projects that shape the future of data and AI.
- Collaborate with top-tier professionals in a dynamic, fast-paced environment.
- Take ownership of your work and make a tangible difference in the companys success.
- Grow your career with mentorship, training, and opportunities for advancement.
Skills
Data Engineering, Data Pipeline, ETL, Google Cloud Platform, Java, Data Ingestion, Data Validation, SQL