[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Hyderabad # Google Cloud Data Engineer Hyderabad Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/422880J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Google Cloud Data Engineer ## Job description ### Walk-In at Hyderabad Date 25-Jul-26 Job Description: ### Skills and Experience Required - 4+ years of experience in Data Engineering or related roles Expert in Google Cloud Platform (GCP) and GCP Ingestion tools, including Pub/Sub, Dataflow, Cloud Data Fusion, Cloud Composer, Cloud Functions, BigQuery, GCS, etc. Expertise in data modeling methodologies (e.g., Dimensional, 3NF, Data Vault) and designing optimized data forms (schemas) for analytical platforms like BigQuery. Hands-on programming skills using SQL, Python, T-SQL, PL-SQL, Unix/C/C#Scripting tools. Basic skills in software design & development using RDBMS. Interpreting data models, relationships, data lineage & database connectivity details. Proven expertise with Data Management, Data Warehousing, and Analytics, including extensive implementation experiences. Deep experience with conceptual, logical and physical data modeling for large databases Understanding of data management practices such as data integration, master data management, metadata management, data quality management, security/privacy, and data modeling. Strong consultative and communication skills. Certified professional(preferrable). - Experienced in working in a customer-facing role - Strong analytical and problem-solving skills - Ability to work independently and in cross-functional teams - Clear communication with both technical and business stakeholders ### Responsibilities - Design, develop, and maintain scalable data pipelines on Google Cloud Platform - Build and optimize BigQuery datasets, tables, views, and SQL queries for analytics and reporting - Implement ETL/ELT pipelines using GCP services such as Cloud Dataflow, Cloud Composer, and Cloud Functions - Ensure data quality, reliability, and performance across data platforms - Collaborate with data analysts, and business stakeholders to translate requirements into data solutions - Implement data modeling (dimensional, star/snowflake schemas) for analytical workloads - Optimize BigQuery costs and performance through partitioning, clustering, and query tuning - Implement data security, access controls, and governance using IAM and best practices