{"id":1228689,"url":"https://alion.io/job/raah-techservices-gcp-data-engineer","title":"GCP Data Engineer","company":{"id":3798359,"name":"Raah Techservices","domain":"raahtechservices.com","url":"https://alion.io/company/raah-techservices","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":800000,"max":3000000,"currency":"INR","period":"year","gross":true,"usd_annual":31446},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Google Cloud Run","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-03T11:57:16Z","employer_posted_date":null,"last_verified_at":"2026-09-03T11:57:16Z","board_verified":false,"closed_at":null,"days_open":31,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":31},"description":"Experience: 5+ Years\nEmployment Type: Full-Time\n\nRole Overview\nWe are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.\n\nKey Skills – Mandatory\nBigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.\nGoogle Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.\nAirflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.\nPython – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.\nVertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.\nGood to Have / Added Advantage\nDataproc – Experience with distributed data processing and Spark-based workloads.\nCloud Data Fusion – Experience in building and managing data integration pipelines.\nCloud Run – Understanding of deploying and running containerized applications/services on GCP.\nExperience with ETL/ELT processes and data pipeline development.\nKnowledge of GCP data architecture and cloud-native services.\nExperience in data quality, validation, monitoring, and troubleshooting.\nResponsibilities\nDesign, develop, and maintain scalable GCP-based data pipelines.\nBuild and optimize data solutions using BigQuery and Cloud Storage.\nDevelop and manage workflows using Airflow / Cloud Composer.\nWrite efficient and reusable Python code for data processing and automation.\nSupport Vertex AI integrations and AI/ML data workflows.\nMonitor pipeline performance and troubleshoot data processing issues.\nWork with cross-functional teams to understand data requirements and deliver reliable solutions.\nImplement best practices for data security, quality, scalability, and performance.\nYou must have : \n5+ years of overall experience in Data Engineering.\nStrong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.\nStrong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.\nDataproc, Data Fusion, and Cloud Run experience will be an added advantage.\n\nSkills\nGoogle Vertex AI, Google Cloud Platform (GCP), Python, Google BigQuery","description_format":"text","description_chars":2529,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.682,"p_room":0.55,"age_days":30,"expected_fill_days":24,"reasons":["seen:30","velocity","win:tail"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":31446,"is_top_pay":false},"html_url":"https://alion.io/job/raah-techservices-gcp-data-engineer","json_url":"https://alion.io/job/raah-techservices-gcp-data-engineer.json","meta":{"generated_at":"2026-10-04T16:33:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-05T00:00:00Z"}}}