{"id":2812100,"url":"https://alion.io/job/hcltech-senior-erp-specialist-9","title":"Senior ERP 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":"Enterprise Apps","role_family":"Enterprise Apps","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":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":581},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Vertex AI","optional":false},{"name":"Git","optional":true},{"name":"PyTorch","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-18T09:53:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-19T01:04:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nData Engineer (AI/ML Focus) - Google Cloud Platform We are seeking a highly skilled and experienced Data Engineer with a strong background in AI/ML to design, build, and optimize robust data pipelines and infrastructure on the Google Cloud Platform (GCP). The ideal candidate will be passionate about leveraging data to power machine learning initiatives, ensuring data quality, accessibility, and scalability for advanced analytics and AI applications.Responsibilities: AI/ML Data Preparation: Collaborate closely with Data Scientists and Machine Learning Engineers to understand data requirements for model training, evaluation, and serving. Prepare, transform, and curate large, diverse datasets (structured, unstructured, streaming) to optimize them for AI/ML workloads.\nAI/ML Services: Gemini AI, AI Studio, Vertex AI (for model training, deployment, MLOps, Pipelines, Workbench, AutoML). Should be able to create prompts and create build applications using AI studio.Automation & MLOps: Automate data processes, develop CI/CD pipelines for data and ML models, and contribute to MLOps best practices for seamless deployment and monitoring of AI/ML solutions. Monitor, troubleshoot, and optimize the performance and cost-effectiveness of data pipelines and AI/ML infrastructure.\nCollaboration & Communication: Work effectively with cross-functional teams, including Data Scientists, Analysts, Software Engineers, and Product Managers, to understand data needs and deliver impactful solutions.\nInnovation & Research: Stay up-to-date with the latest advancements in data engineering, AI/ML, and GCP technologies, continuously exploring and recommending new tools and approaches.\nQualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.\nProven experience as a Data Engineer, with a strong focus on building data solutions for AI/ML applications.\nIn-depth knowledge and hands-on experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Composer, etc.).\nStrong proficiency in programming languages such as Python (essential), and experience with Scala or Java is a plus.\nExpertise in SQL and experience with various database technologies (relational, NoSQL, data warehouses).\nFamiliarity with machine learning concepts, algorithms, and workflows (e.g., feature engineering, model training, evaluation, deployment).\nExperience with machine learning frameworks like TensorFlow or PyTorch.\nUnderstanding of distributed systems, big data technologies, and real-time data processing.\nExperience with version control systems (e.g., Git) and CI/CD practices.\nExcellent problem-solving, analytical, and communication skills.\nGoogle Cloud Professional Data Engineer certification is a strong plus.\nKey Responsibilities\nData Engineer (AI/ML Focus) - Google Cloud Platform We are seeking a highly skilled and experienced Data Engineer with a strong background in AI/ML to design, build, and optimize robust data pipelines and infrastructure on the Google Cloud Platform (GCP). The ideal candidate will be passionate about leveraging data to power machine learning initiatives, ensuring data quality, accessibility, and scalability for advanced analytics and AI applications.Responsibilities: AI/ML Data Preparation: Collaborate closely with Data Scientists and Machine Learning Engineers to understand data requirements for model training, evaluation, and serving. Prepare, transform, and curate large, diverse datasets (structured, unstructured, streaming) to optimize them for AI/ML workloads.\nAI/ML Services: Gemini AI, AI Studio, Vertex AI (for model training, deployment, MLOps, Pipelines, Workbench, AutoML). Should be able to create prompts and create build applications using AI studio.Automation & MLOps: Automate data processes, develop CI/CD pipelines for data and ML models, and contribute to MLOps best practices for seamless deployment and monitoring of AI/ML solutions. Monitor, troubleshoot, and optimize the performance and cost-effectiveness of data pipelines and AI/ML infrastructure.\nCollaboration & Communication: Work effectively with cross-functional teams, including Data Scientists, Analysts, Software Engineers, and Product Managers, to understand data needs and deliver impactful solutions.\nInnovation & Research: Stay up-to-date with the latest advancements in data engineering, AI/ML, and GCP technologies, continuously exploring and recommending new tools and approaches.\nQualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.\nProven experience as a Data Engineer, with a strong focus on building data solutions for AI/ML applications.\nIn-depth knowledge and hands-on experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Composer, etc.).\nStrong proficiency in programming languages such as Python (essential), and experience with Scala or Java is a plus.\nExpertise in SQL and experience with various database technologies (relational, NoSQL, data warehouses).\nFamiliarity with machine learning concepts, algorithms, and workflows (e.g., feature engineering, model training, evaluation, deployment).\nExperience with machine learning frameworks like TensorFlow or PyTorch.\nUnderstanding of distributed systems, big data technologies, and real-time data processing.\nExperience with version control systems (e.g., Git) and CI/CD practices.\nExcellent problem-solving, analytical, and communication skills.\nGoogle Cloud Professional Data Engineer certification is a strong plus.\nSkill Requirements\nOther Requirements","description_format":"text","description_chars":5674,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-18T09:53:00Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["conf:4","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-senior-erp-specialist-9","json_url":"https://alion.io/job/hcltech-senior-erp-specialist-9.json","meta":{"generated_at":"2026-10-19T07:03:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4577,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-senior-erp-specialist-9"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhcltech-senior-erp-specialist-9"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhcltech-senior-erp-specialist-9"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hcltech-senior-erp-specialist-9\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-senior-erp-specialist-9"}]}