Job Description
Job Summary
nWe are looking for a skilled Data Engineer with a strong background in building scalable, high-performance data pipelines on Google Cloud Platform (GCP).
nThe ideal candidate will have hands-on experience with BigQuery, Airflow, and cloud-based ETL workflows, along with solid programming expertise in Java or Python.
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nExperience: 8+ Years
nLocation: Chennai, Pune, Coimbatore and Bangalore
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nPrimary Skills
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- Google Cloud Platform (GCP): Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Airflow (Composer).n
- BigQuery: Solid SQL skills with expertise in query optimization, partitioning, clustering, and cost management.n
- Airflow (Composer): Proven ability to build, schedule, and monitor ETL/ELT pipelines using Apache Airflow.n
- Programming: Proficiency in Python or Java for data processing, automation, and pipeline development.n
- ETL & Data Integration: Designing and implementing end-to-end ETL/ELT workflows for structured and unstructured data.n
- Database Management:



Strong command of SQL; working knowledge of NoSQL databases like MongoDB or Firestore.n
- Version Control & DevOps: Experience with Git, CI/CD practices; familiarity with Docker/Kubernetes is a plus.n

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nKey Responsibilities
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- Design, develop, and maintain scalable data pipelines and data lake solutions on GCP.n
- Build and automate data ingestion and transformation workflows using Airflow and BigQuery.n
- Ensure data quality, performance, and security across all cloud environments.n
- Collaborate with cross-functional teams to translate business needs into efficient data models.n
- Optimize queries, manage schema evolution, and maintain high data availability.n
- Implement data governance, version control, and CI/CD best practices.n
- Monitor and troubleshoot data pipelines for continuous reliability and efficiency improvements.n

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nWhy Join KANINI?
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- Join KANINI’s award-winning Data Enginee

📌 Senior Data Engineer (Tamil Nadu)
🏢 KANINI
📍 Tamil Nadu