{"id":3414833,"url":"https://alion.io/job/hcltech-gcp-senior-technical-specialist-9","title":"GCP Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Erwin","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-28T18:57:08Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T14:56:34Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nJob Description - GCP Architect (pipeline creation/ 10+ years of exp/ Dataform)\nRole Overview\nWe are looking for a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and data platforms on Google Cloud. The role involves working with large datasets, ensuring high data quality, and enabling analytics and reporting solutions across business functions.\nGCP Data Engineers are typically responsible for designing and maintaining data pipelines and infrastructure using Google Cloud services to support analytics and decision-making.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage\nBuild and manage ETL/ELT workflows for structured and unstructured data\nDevelop and orchestrate data pipelines using Cloud Composer (Airflow)\nPerform data ingestion, transformation, and integration across multiple source systems\nDesign and implement data models and data warehouse solutions (BigQuery-based)\nEnsure data quality, validation, reconciliation, and governance\nMonitor and optimize pipeline performance, cost, and scalability\nWork closely with data scientists, analysts, and business teams to deliver data solutions\nEnsure security, compliance, and access control using IAM and best practices\nKey Responsibilities\nRequired Skills & Experience\nTechnical Skills\nStrong hands-on experience with Google Cloud Platform (GCP) services:\nBigQuery\nDataflow / Dataproc/Dataform\nPub/Sub\nCloud Storage\nCloud Composer (Airflow)\nProficiency in Python and SQL for data processing\nExperience with ETL/ELT pipelines, data modeling, and warehousing concepts\nData Engineering Capabilities\nStrong understanding of:\nData warehousing (DWH)\nDimensional modeling / Medallion architecture\nData pipeline orchestration and scheduling\nExperience in batch + real-time data processing\nSoft Skills\nStrong problem-solving and analytical skills\nEffective stakeholder communication and collaboration\nAbility to work in Agile / Scrum delivery models\nExperience & Qualifications\nBachelor’s/Master’s in Computer Science, Engineering, or related field\n7+ years of experience in data engineering / cloud data platforms\nHands-on experience in building data pipelines on GCP\nGood to Have\nExperience in US Healthcare domain\nSkill Requirements\nPrimary & Secondary Skills (Quick View)\n\nCategory\n\nSkills\n\nPrimary\n\nGCP Data Engineering, BigQuery, Dataflow, Data Pipelines\n\nSecondary\n\nPython, SQL, Airflow, CI/CD\n\nNice to Have\n\nHealthcare domain, Spark, ML integration\n\nOther Requirements\n1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.","description_format":"text","description_chars":2691,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Professional Services","Science & Engineering","Systems 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