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Niche GCP specialization reduces pool, but metro location and broad pipeline requirements increase competition.
Medium because GCP data engineering skills are transferable but require platform-specific experience.
High due to explicit 6+ years requirement and multiple mandatory GCP data-pipeline technologies.
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Design and develop batch and real-time data pipelines using GCP services like Dataflow, BigQuery and Cloud Composer.
Build and optimize scalable ETL/ELT processes including data ingestion, transformation, orchestration, monitoring, and cost-performance tuning.
Implement GCP security best practices, infrastructure as code (Terraform), CI/CD processes, and troubleshoot production data pipeline issues.
6+ years of relevant work experience in data engineering or related field.
Proficiency in GCP technologies including Dataflow, BigQuery, Cloud Composer, IAM, and Terraform.
Strong skills in SQL, Python, Beam, Spark, and orchestration tools such as Airflow/Cloud Composer.
Location requirement: Trivandrum/Kochi, India.
Experienced in building and maintaining complex data pipelines integrating multiple data sources including databases, APIs, SaaS, and streaming.
Demonstrates expertise in cloud cost optimization and security implementation within GCP environments.
Capable of collaborating with cross-functional teams including Data Architects, Data Scientists, and application developers.