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Data Engineer - Google Cloud Platform

Data Engineer - Google Cloud Platform

Meeden LabsChennai
30+ days ago
Job description

About the Role :

We are looking for a highly motivated and experienced GCP Data Engineer to join our team in Chennai.

In this role, you will play a critical part in designing and developing robust data engineering solutions on Google Cloud Platform (GCP).

You will be responsible for building, maintaining, and optimizing large-scale, cloud-based data pipelines, enabling efficient data ingestion, transformation, and analysis.

This role requires deep expertise in GCP, Python, SQL, and BigQuery, and a strong understanding of modern data architecture, ETL processes, and best practices for cloud-based data Responsibilities :

  • Design and implement scalable, fault-tolerant, and high-performance data pipelines on GCP using BigQuery, Dataflow, Pub / Sub, and other GCP-native services.
  • Develop data ingestion frameworks for both batch and streaming data from diverse sources.
  • Design and optimize schemas in BigQuery for analytics and reporting purposes.
  • Write efficient and reusable SQL queries for data transformation, aggregation, and reporting.
  • Implement data quality checks, validation rules, and lineage tracking.
  • Work with infrastructure-as-code tools (Terraform, Deployment Manager) for provisioning GCP resources.
  • Automate deployment and monitoring of data pipelines using CI / CD tools (e.g., Cloud Build, Jenkins).
  • Implement robust logging and alerting using tools like Cloud Monitoring and Cloud Logging.
  • Collaborate with data scientists, analysts, and business stakeholders to gather data requirements and support analytics use cases.
  • Maintain detailed documentation of pipelines, data flows, and system architecture.
  • Advocate for data governance, security, and compliance best Skills & Qualifications Skills :
  • Strong hands-on experience with Google Cloud Platform (GCP) services including :

1. BigQuery

2. Dataflow (Apache Beam)

3. Cloud Storage

4. Pub / Sub

5. Cloud Composer (Apache Airflow)

  • Proficiency in Python for data pipeline development, automation, and scripting.
  • Advanced knowledge of SQL for data manipulation and analysis.
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Cloud Composer)
  • ref : hirist.tech)

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    Data Engineer Google Cloud Platform • Chennai

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