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Mid-senior GCP data engineering in metro cities with in-demand cloud skills yields moderate competition.
GCP data engineering skills transfer across industries but require cloud-specific expertise, so medium sensitivity.
Explicit 7–9 years plus mandatory GCP BigQuery/Dataflow/Dataproc skills implies high shortlisting strictness.
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Own end-to-end GCP data engineering tasks using BigQuery, Dataflow, and Cloud Composer to build scalable data solutions.
Develop and maintain data pipelines, ensuring efficient data processing and integration across cloud services.
Collaborate in hybrid work locations (Chennai, Pune, Coimbatore, Bangalore) to deliver data-driven outcomes aligned with business needs.
7 to 9 years overall experience, with at least 5 years relevant in GCP Data Engineering.
Proficiency in GCP technologies including BigQuery, Dataflow, Cloud Composer, and SQL.
Experience with secondary tools: Dataplex, Dataproc, Python or Java, and PySpark.
Immediate joining availability; must be located in or willing to work in Chennai, Pune, Coimbatore, or Bangalore in a hybrid model.
Experienced in designing and implementing scalable data pipelines on Google Cloud Platform with a strong focus on automation and orchestration tools.
Comfortable working across multiple Indian metro hubs in a hybrid setup, indicating adaptability to distributed work environments.
Has a proven track record of leveraging both primary and secondary GCP tools and programming languages to optimize large-scale data solutions.