{"id":1279322,"url":"https://alion.io/job/enter-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3800358,"name":"Enter Recruitment","domain":"enterrecruitment.com","url":"https://alion.io/company/enter-10","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":64},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-25T06:20:48Z","employer_posted_date":null,"last_verified_at":"2026-08-25T06:20:48Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"The core responsibilities for the job include the following :\n\nData Warehousing and Modelling :\n\n- Own the design of silver/gold layer tables: grain, join keys, schema, partitioning, and clustering decisions for large-scale datasets.\n\n- Build and maintain batch and streaming ETL pipelines (using big data technologies) feeding the medallion architecture.\n\n- Design idempotent, observable pipelines with QC gates, backfill strategies, and clear failure semantics.\n\n- Standardize data models and conventions across multiple game products/projects.\n\n- Deliver high-quality data pipelines with utmost importance to the correctness and availability of the data to different target audiences/systems.\n\nDesign Decisions and Technical Ownership :\n\n- Lead source-system profiling and drive grain, deduplication, and enrichment decisions backed by data, not assumptions.\n\n- Own trade-off calls: cost vs. freshness, load strategy, schema evolution, and query/slot optimization.\n\n- Document designs and decisions so they survive beyond the author.\n\nStakeholder Management :\n\n- Partner with analysts, PMs, and game teams to translate business questions into warehouse requirements and reconcile instrumentation gaps.\n\n- Communicate design proposals and data profiling findings to both technical and leadership audiences.\n\nRequirements :\n\n- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.\n\n- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).\n\n- Data Modelling: Strong command of medallion architecture, dimensional/fact modelling, grain definition, and schema design.\n\n- Programming: Production-grade Python; PySpark on Dataproc (or Databricks/EMR equivalents).\n\n- Streaming: Working experience with Kafka-based ingestion (Confluent preferred).\n\n- Data Quality: Experience building validation, observability, and reconciliation into pipelines.\n\n- Stakeholder Skills: Proven ability to gather requirements, challenge assumptions, and communicate trade-offs clearly.\n\n- Education: Bachelor's/Master's in CS, engineering, or a related field (or equivalent experience).\n\nAI-Augmented Engineering (Must-Have) :\n\n- We expect AI tooling to be part of your daily workflow, with sound judgment on when to trust and when to verify:\n\n1. Hands-on daily use of AI coding agents Claude Code / CLI, Claude web app, or equivalents (Cursor, Copilot, Gemini CLI).\n\n2. Experience creating reusable AI assets: custom skills/commands, prompt libraries, or repo-level agent context.\n\n3. Familiarity with MCP or similar integrations connecting agents to warehouses and internal tools.\n\n4. Ability to demonstrate real examples of AI-accelerated work and where you drew the human-review line.\n\nPreferred:\n\n- LLM-in-pipeline experience: AI-driven data quality checks, anomaly triage, or text-to-SQL for self-service analytics.\n\n- Broader GCP: Pub/Sub, Cloud Run, Cloud Functions, Cloud SQL.\n\n- Gaming, fintech, or other high-volume consumer event domains.\n\nSkills\nData Engineering, SQL, Python, Data Warehousing, ETL, BigQuery, Data Modeling, Data Pipeline, Big Data","description_format":"text","description_chars":3125,"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":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.323,"p_room":0.45,"age_days":50,"expected_fill_days":29,"reasons":["seen:50","agency","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/enter-senior-data-engineer","json_url":"https://alion.io/job/enter-senior-data-engineer.json","meta":{"generated_at":"2026-10-15T11:20:30Z","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":17439,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3800358},"rest":"https://alion.io/mcp/rest/get_company?id=3800358"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fenter-senior-data-engineer"},{"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%2Fenter-senior-data-engineer"},{"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%2Fenter-senior-data-engineer"},{"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/enter-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fenter-senior-data-engineer"}]}