Gcp Data Engineer

Job description

• 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
• Support CI/CD pipelines and infrastructure-as-code for data platforms