{"id":117143,"url":"https://alion.io/job/inmobi-data-engineer-iv","title":"Data Engineer IV","company":{"id":1289,"name":"InMobi","domain":"inmobi.com","url":"https://alion.io/company/inmobi","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":27,"ghost_share":0,"stale_share":0.148,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":["Lucknow, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Aerospike","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Cassandra","optional":false},{"name":"ClickHouse","optional":false},{"name":"FinOps","optional":false},{"name":"Flink","optional":false},{"name":"GDPR","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Hudi","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"ArgoCD","optional":true},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Delta Lake","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"gRPC","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prefect","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-08-24T11:55:46Z","employer_posted_date":null,"last_verified_at":"2026-08-24T11:55:46Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"We are hiring a Tech Lead / SDE IV to anchor and grow our data engineering capability within our Demand-Side Platform (DSP). This is a high-impact, technically hands-on leadership role at the intersection of real-time data infrastructure, programmatic advertising, and scalable backend systems. You will own the design and delivery of pipelines that power bidding intelligence, audience targeting, campaign analytics, and attribution, processing billions of bid-stream events daily. Alongside your data engineering mandate, you will architect and contribute to backend microservices that sit at the core of our DSP stack, including integrations with SSPs, ad exchanges, and identity resolution platforms. You will mentor a team of engineers, drive technical direction, and collaborate closely with product, ML, and growth functions to turn data into a true competitive advantage.\nThe core responsibilities for the job include the following:\nData Stack:\nDesign and own end-to-end data pipelines, batch and real-time, handling bid requests, win/loss events, impression logs, click streams, and conversion signals at scale.\nBuild and maintain our data lakehouse architecture (ingestion, storage, and serving layer) optimised for low-latency DSP analytics and ML feature generation.\nDefine standards for data quality, lineage, observability, and SLA adherence across all data products.\nOwn and evolve our StarRocks deployment for real-time analytical queries, schema design, ingestion patterns, and query optimisation for DSP reporting workloads.\nDrive FinOps discipline across the data platform, track compute and storage costs, enforce resource quotas, identify optimisation opportunities, and report on unit economics.\nEstablish and lead data governance practices: metadata management, data cataloguing, access control policies, PII classification, and data retention standards compliant with GDPR and CCPA.\nBackend Microservices:\nContribute to and review the design of backend services that power DSP functionality, bid shading, pacing, budget management, and reporting APIs.\nArchitect data contracts and event schemas between microservices, ensuring consistency across the bid request lifecycle.\nChampion best practices in API design, service reliability (SLOs, circuit breakers, retries), and observability (distributed tracing, structured logging, metrics).\nCollaborate with the bidder team on low-latency data reads (Aerospike, Cassandra, or similar) for real-time targeting signal lookups.\nTechnical Leadership:\nLead architecture reviews, set engineering standards, and drive adoption of best practices across the data and backend engineering teams.\nMentor SDE II/III engineers through code reviews, design sessions, and pair programming; grow the next generation of technical leaders.\nPartner with ML engineers on the full model lifecycle feature engineering pipelines, offline training data generation, experiment tracking, and model serving infrastructure.\nTranslate complex business requirements (campaign KPIs, ROAS, viewability, brand safety) into robust technical designs.\nOwn the technical roadmap for data infrastructure capacity planning, migration strategies, and build vs. buy decisions.\nRequirements:\n8+ years of software engineering experience, with at least 4 years focused on data engineering or large-scale data systems.\nPrior experience in ad-tech, programmatic advertising, or real-time bidding (RTB) environments strongly preferred.\nExperience in ML engineering, feature engineering, building offline training pipelines, or collaborating closely on model productionisation is preferred.\nA bachelor's or master's degree in computer science, engineering, or a related technical field.\nData Engineering (Core):\nDeep expertise in distributed stream processing frameworks Apache Kafka, Apache Flink, or Apache Spark Structured Streaming.\nStrong command of SQL and experience optimising complex analytical queries at petabyte scale.\nHands-on experience with real-time analytical databases, particularly StarRocks; familiarity with Snowflake or ClickHouse is a plus.\nProficiency with workflow orchestration tools: Apache Airflow, Prefect, or Dagster.\nSolid understanding of data modelling, dimensional modelling, OBT patterns, and event-driven schemas relevant to ad impression and attribution data.\nFamiliarity with open table formats: Apache Iceberg, Delta Lake, or Apache Hudi.\nBackend and Systems:\nProficiency in Python (primary) and/or Java/Scala for building production-grade services and data processing jobs.\nExperience designing and building RESTful APIs and/or gRPC-based microservices.\nWorking knowledge of low-latency data stores (Aerospike, Cassandra) used for real-time lookups in the bidding path.\nComfortable with containerised deployments on Kubernetes and CI/CD pipelines (GitHub Actions, ArgoCD, or similar).\nAd-Tech Domain Knowledge:\nUnderstanding of the RTB ecosystem: DSPs, SSPs, ad exchanges, bid request/response lifecycle, and OpenRTB protocol.\nFamiliarity with identity resolution approaches: cookie IDs, device IDs, UID2 / RampID, and privacy-preserving identity.\nExposure to audience segmentation, frequency capping, pacing algorithms, or attribution models is a significant plus.\nAwareness of privacy regulations (GDPR, CCPA) and their implications for data pipelines and user-level data handling.\nLeadership and Collaboration:\nDemonstrated experience leading technical squads or functioning as a technical anchor on cross-functional projects.\nStrong written and verbal communication skills; ability to translate technical complexity for non-engineering stakeholders.\nTrack record of driving projects from ambiguous requirements to production with high engineering quality.","description_format":"text","description_chars":5720,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Sales & Marketing","Advertising"],"lifecycle":[{"event":"open","at":"2026-08-24T11:55:46Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3 · green card filings: 2","filings_12m":3,"filings_prev_12m":6,"green_card_filings_12m":2,"median_offered_wage_usd":192500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-16T06:21:30+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":0.4,"p_active":0.848,"p_room":0.9,"age_days":52,"expected_fill_days":76,"reasons":["seen:52","velocity","win:mid"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/inmobi-data-engineer-iv","json_url":"https://alion.io/job/inmobi-data-engineer-iv.json","meta":{"generated_at":"2026-10-16T21:45:03Z","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":2925,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":1289},"rest":"https://alion.io/mcp/rest/get_company?id=1289"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finmobi-data-engineer-iv"},{"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%2Finmobi-data-engineer-iv"},{"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%2Finmobi-data-engineer-iv"},{"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/inmobi-data-engineer-iv\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finmobi-data-engineer-iv"}]}