Job Description

Job Summary

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We are looking for a skilled Data Engineer with a strong background in building scalable, high-performance data pipelines on Google Cloud Platform (GCP).

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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.

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Experience: 8+ Years

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Location: Chennai, Pune, Coimbatore and Bangalore

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Primary Skills

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- Google Cloud Platform (GCP): Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Airflow (Composer).
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- BigQuery: Solid SQL skills with expertise in query optimization, partitioning, clustering, and cost management.
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- Airflow (Composer): Proven ability to build, schedule, and monitor ETL/ELT pipelines using Apache Airflow.
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- Programming: Proficiency in Python or Java for data processing, automation, and pipeline development.
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- ETL & Data Integration: Designing and implementing end-to-end ETL/ELT workflows for structured and unstructured data.
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- Database Management:



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

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

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- Join KANINI's award-wi

📌 Senior Data Engineer (Tirunelveli)
🏢 KANINI
📍 Tirunelveli