Specialty Development Senior

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Job Overview

GCP Data Engineer

Google Cloud Platform (GCP)

data engineering, cloud migration, and large-scale data transformation

Key Responsibilities

• Design, build, and optimize data pipelines on GCP to support large-scale data transformations and analytics.
• Lead the migration and modernization of legacy systems to cloud-based architecture.
• Collaborate with cross-functional global teams to support data-driven applications and enterprise analytics solutions.
• Work with large datasets to enable platform capabilities and business insights using GCP tools.
• Ensure data quality, integrity, and performance across the end-to-end data lifecycle.
• Apply agile development principles to rapidly deliver and iterate on data solutions.
• Promote engineering best practices in CI/CD, DevSecOps, and cloud deployment strategies.
  

Must-Have Skills

• GCP Services: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud Composer, Cloud Functions, Cloud SQL, Cloud Spanner, Cloud Storage, Bigtable, Pub/Sub, App Engine, Compute Engine, Airflow
• Programming & Data Engineering: 5+ years in data engineering and SQL development; experience in building data warehouses and ETL processes
• Cloud Experience: Minimum 3 years in cloud environments (preferably GCP), implementing production-scale data solutions
• Strong understanding of data processing architectures (batch/real-time) and tools such as Terraform, Cloud Build, and Airflow
• Experience with containerized microservices architecture
• Excellent problem-solving skills and ability to optimize complex data pipelines
• Strong interpersonal and communication skills with the ability to work effectively in a globally distributed team
• Proven ability to work independently in high-ambiguity scenarios and drive solutions proactively
  

Preferred Skills

• GCP Certification (e.g., Professional Data Engineer)
• Experience in regulated or financial domains
• Migration experience from Teradata to GCP
• Programming experience with Python, Java, Apache Beam
• Familiarity with data governance, security, and compliance in cloud environments
• Experience coaching and mentoring junior data engineers
• Knowledge of software architecture, CI/CD, source control (Git), and secure coding standards
• Exposure to Java full-stack development (Spring Boot, Microservices, React)
• Agile development experience including pair programming, TDD, and DevSecOps
• Proficiency in test automation tools like Selenium, Cucumber, REST Assured
• Familiarity with other cloud platforms like AWS or Azure is a plus
  

Education

• Bachelor’s Degree in Computer Science, Information Technology, or a related field (mandatory)