{"id":2587542,"url":"https://alion.io/job/crescendo-global-gcp-engineer","title":"GCP Engineer","company":{"id":721309,"name":"Crescendo Global","domain":"crescendo-global.com","url":"https://alion.io/company/crescendo-global","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T04:23:03Z","employer_posted_date":null,"last_verified_at":"2026-10-15T04:23:03Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Consultant - GCP Engineer | 4 - 6 Years | Bangalore\n\nHiring a hands-on GCP Engineer with strong experience in Google Cloud Platform (GCP), BigQuery, and dbt. This is an excellent opportunity for professionals who enjoy building scalable cloud-based data solutions, developing data transformation workflows, optimizing data models, and ensuring data quality and reliability.\n\nLocation : Bangalore (Hybrid)\n\nExperience : 4 - 6 Years\n\nYour Future Employer : \n\nA leading global AI and Analytics organization offering an opportunity to work on advanced data engineering, cloud data platforms, analytics, and AI-driven solutions for global clients.\n\nResponsibilities : \n\n- Design, develop, and maintain scalable data pipelines and cloud-based data solutions using Google Cloud Platform (GCP).\n\n- Work extensively with Google BigQuery for data storage, processing, transformation, and analytical workloads.\n\n- Develop and maintain data transformation workflows using dbt (data build tool).\n\n- Write, optimize, and maintain complex SQL queries to support efficient data processing and analytics.\n\n- Build, maintain, and optimize data models to support reporting, analytics, and business requirements.\n\n- Implement data quality checks, testing, and validation to ensure data accuracy, consistency, and reliability.\n\n- Optimize BigQuery queries and data models for performance, scalability, and cost efficiency.\n\n- Troubleshoot data pipeline issues and resolve data transformation and processing errors.\n\n- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver effective data solutions.\n\n- Follow best practices for version control, documentation, testing, deployment, and data governance.\n\nRequirements : \n\n- 4 - 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