Senior Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 9 months ago
8-10 years
Chennai, Tamil Nadu
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 9 months ago
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Job Description

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 KANINIs 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.

Skills

PythonData GovernanceData IntegrationEtlData ProcessingData EngineerAiGoogle CloudSql

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