Vacancy description
Kanini
India, Mannady
Senior Data Engineer - AI & Data in Mannady, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Summary We are looking for a skilled Data Engineer with a strong background in building scalable, high-performance data pipelines on Google Cloud Platform (GCP) .
The ideal candidate will have hands-on experience with BigQuery , Airflow , and cloud-based ETL workflows , along with solid programming expertise in Java or Python .
Experience: 8+ Years
Location: Chennai, Pune, Coimbatore and Bangalore
Primary Skills
Google Cloud Platform (GCP): Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Airflow (Composer).
BigQuery: Strong SQL skills with expertise in query optimization, partitioning, clustering, and cost management.
Airflow (Composer): Proven ability to build, schedule, and monitor ETL/ELT pipelines using Apache Airflow.
Programming: Proficiency in Python or Java for data processing, automation, and pipeline development.
ETL & Data Integration: Designing and implementing end-to-end ETL/ELT workflows for structured and unstructured data.
Database Management: Strong command of SQL; working knowledge of NoSQL databases like MongoDB or Firestore.
Version Control & DevOps: Experience with Git, CI/CD practices; familiarity with Docker/Kubernetes is a plus.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and data lake solutions on GCP.
Build and automate data ingestion and transformation workflows using Airflow and BigQuery.
Ensure data quality, performance, and security across all cloud environments.
Collaborate with cross-functional teams to translate business needs into efficient data models.
Optimize queries, manage schema evolution, and maintain high data availability .
Implement data governance , version control, and CI/CD best practices.
Monitor and troubleshoot data pipelines for continuous reliability and efficiency improvements .
Why Join KANINI?
Join KANINI’s award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025
Work on real-world problemsat the intersection of data, AI, and product development
Be part of a collaborative, innovative, and growth-driven environment.
Access to cutting-edge tools, leadership support, and continuous learning opportunities.
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