Job Description: GCP Data Engineer
Role Overview and Responsibilities
The GCP Data Engineer is responsible for designing, developing, and maintaining data solutions on the Google Cloud Platform (GCP). This role involves building robust data pipelines, optimizing data architectures, and ensuring data quality and security across various cloud-based projects. The ideal candidate will collaborate with data scientists, analysts, and other stakeholders to deliver scalable and efficient data solutions.
Key Responsibilities
Design, develop, and deploy data pipelines and ETL processes using GCP services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.
Implement data modeling, data integration, and data warehousing solutions to support analytics and business intelligence initiatives.
Optimize and monitor data workflows for performance, reliability, and cost-effectiveness.
Collaborate with cross-functional teams to define data requirements and deliver end-to-end solutions.
Ensure data security, privacy, and compliance with relevant policies and standards.




Troubleshoot and resolve issues related to data processing and cloud infrastructure.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
Proven experience working with GCP data services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, etc.).
Strong proficiency in SQL, Python, and data processing frameworks such as Apache Beam or Spark.
Experience with data modeling, ETL development, and data warehousing concepts.
Familiarity with cloud security best practices and data governance.
Excellent problem-solving skills and the ability to work independently or as part of a team.
GCP Professional Data Engineer certification is a plus.
Preferred Skills
Knowledge of additional cloud platforms (AWS, Azure) is advantageous.
Experience with CI/CD pipelines and infrastructure automation tools.
Solid communication skills and a collaborative mindset.
If you are pa

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🏢 Tata Consultancy Services
📍 Chennai