{"id":2497482,"url":"https://alion.io/job/all-rights-reserved-senior-data-engineer-gcp-3","title":"Senior Data Engineer (GCP)","company":{"id":2313062,"name":"Comm-IT","domain":"comm-it.com","url":"https://alion.io/company/comm-it-com","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Yerevan, Armenia"],"countries":["AM"],"hiring_countries":["AM"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-08T15:26:11Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-28T23:16:27Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Description\nWe are looking for an experiencedSenior Data Enginee r to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies. You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.\nKey Responsibilities:\nDesign and develop scalable data solutions on GCP.\nLead the technical design and implementation of customer data projects.\nUnderstand business and technical requirements and translate them into effective data architectures.\nBuild and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.\nDesign data models and integration processes for Batch and real-time workloads.\nWork with structured, semi-structured, and unstructured data.\nSelect the appropriate technologies based on performance, scalability, security, and cost requirements.\nImplement data quality, monitoring, governance, and orchestration processes.\nWork closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.\nParticipate in the development of analytics, AI, and ML solutions where relevant.\nRequirements\nRequirements:\nAt least 5 years of professional experience as a Data Engineer - mandatory.\nProven hands-on experience developing data solutions on GCP - mandatory.\nExperience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.\nExperience with data modeling, orchestration, performance optimization, and large-scale data processing.\nStrong Python development skills, including building data pipelines and ETL/ELT processes.\nHigh proficiency in SQL - mandatory.\nExperience designing and developing cloud-based Data Warehouses and Lakehouse solutions.\nExperience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms.\nFamiliarity with CI/CD, Git, Infrastructure as Code, and production deployment practices.\nStrong analytical and problem-solving skills with excellent attention to detail.\nAbility to learn new technologies independently and work across multiple projects.\nStrong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions\nFluent English.\nAdvantages\nHands-on experience with AWS or Microsoft Azure data services.\nExperience with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.\nExperience with real-time data processing and streaming architectures.\nExperience with Kafka or other event-driven platforms.\nKnowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.\nRelevant GCP professional certifications.\nPrevious experience working in consulting or customer-facing technology 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