{"id":3397268,"url":"https://alion.io/job/inmobi-sde-ii-data-engineer-2","title":"SDE II - Data Engineer","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":92,"open_postings":26,"ghost_share":0,"stale_share":0.308,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":15500,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Core Data","optional":false},{"name":"Dagster","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"Docker","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Rest API","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-10-28T09:16:04Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T21:12:46Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"InMobi (Corporate)\nInMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses - including InMobi Advertising and flagship consumer platform Glance - InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.\nInMobi Advertising\nInMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach - including flagship consumer platform Glance - InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.\nGlance\nGlance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV - shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.\nRole Overview\nWe are looking for a hands-on SDE-II - Data Engineer to join InMobi’s Demand-Side Platform (DSP) team. In this role, you will build, maintain, and optimise scalable data pipelines that support programmatic advertising, campaign analytics, audience targeting, and attribution.\nYou will work with batch and streaming data, distributed processing frameworks, cloud data platforms, and analytical storage systems to transform large volumes of data into reliable and actionable insights. You will collaborate with backend, product, and ML engineering teams to develop efficient data solutions that support DSP operations.\nThis role is ideal for an engineer with strong fundamentals in Python, SQL, and distributed data processing who is keen to solve data engineering challenges involving high-volume event streams, performance optimisation, and data reliability.\nKey Responsibilities\n1. Data Engineering and Pipeline Development\nDevelop, maintain, and optimise end-to-end batch and streaming data pipelines for processing events such as bid requests, impressions, clicks, and conversion signals.\n\nBuild data ingestion and transformation workflows using Python, SQL, Apache Spark/PySpark, and relevant data engineering frameworks.\n\nWork with data lakehouse architectures and contribute to ingestion, storage, transformation, and serving layers.\n\nImplement data quality checks, schema validation, error handling, and monitoring to ensure data accuracy and reliability.\n\nSupport data modelling and query optimisation for analytical and reporting workloads.\n\nContribute to pipeline performance improvements, resource utilisation, and efficient compute and storage usage.\n\n2. Distributed Processing and Streaming\nWork with distributed data processing technologies such as Apache Spark, PySpark, and Apache Kafka.\n\nDevelop and support streaming workflows for processing event-driven data, with attention to data freshness, reliability, and processing efficiency.\n\nImplement mechanisms for handling duplicate, delayed, or failed events, including retries, checkpointing, and recovery where applicable.\n\nInvestigate production issues and troubleshoot data pipeline failures, performance bottlenecks, and data quality discrepancies.\n\nContribute to the adoption and effective use of technologies such as Apache Flink, Spark Structured Streaming, and open table formats where relevant to the platform.\n\n3. Data Storage and Analytics\nWork with cloud-based data platforms and storage services to support scalable data processing and analytics.\n\nDevelop and optimise SQL queries, data transformations, partitioning strategies, and table structures.\n\nContribute to analytical data stores such as StarRocks, ClickHouse, or similar technologies, based on project requirements.\n\nWork with data lake table formats such as Apache Iceberg, Delta Lake, or Apache Hudi, where applicable.\n\nSupport data modelling, metadata management, access controls, and data retention practices in line with established engineering standards.\n\n4. Collaboration and Engineering Practices\nCollaborate with backend engineers, ML engineers, and other stakeholders to understand data requirements and deliver reliable data solutions.\n\nWork with workflow orchestration tools such as Apache Airflow or equivalent to schedule, monitor, and manage data pipelines.\n\nParticipate in code reviews, technical discussions, testing, and deployment activities.\n\nFollow engineering best practices for version control, CI/CD, observability, documentation, and production readiness.\n\nContribute to continuous improvement by identifying opportunities to enhance pipeline reliability, scalability, performance, and cost efficiency.\n\nRequired Skills and Qualifications\nExperience and Education\n2-5 years of experience in software engineering, data engineering, or big data development.\n\nBachelor's or Master's degree in Computer Science, Engineering, or a related technical field.\n\nExperience developing and maintaining data pipelines in a production environment.\n\nExperience handling large datasets or distributed data processing workloads is preferred.\n\nExposure to ad-tech, programmatic advertising, real-time bidding (RTB), or event-driven systems is an added advantage.\n\nCore Data Engineering Skills\nStrong programming skills in Python.\n\nGood command of SQL, including joins, aggregations, data transformations, and query optimisation.\n\nHands-on experience with Apache Spark/PySpark or a comparable distributed data processing framework.\n\nExperience building and maintaining ETL/ELT pipelines.\n\nUnderstanding of batch processing and streaming data concepts.\n\nExposure to workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.\n\nUnderstanding of data modelling, partitioning, schema evolution, and data quality practices.\n\nStreaming, Cloud, and Data Platform Skills\nFamiliarity with Apache Kafka or similar messaging and streaming technologies.\n\nExposure to AWS, GCP, or Azure data services.\n\nFamiliarity with data lakes, lakehouse architectures, or analytical databases.\n\nExposure to Apache Iceberg, Delta Lake, Apache Hudi, StarRocks, or ClickHouse is an advantage.\n\nUnderstanding of monitoring, logging, error handling, and production troubleshooting.\n\nPreferred Skills\nExperience processing high-volume event data or building near-real-time data pipelines.\n\nExposure to ad-tech datasets such as bid requests, impressions, clicks, conversions, campaign performance, or attribution data.\n\nFamiliarity with Java or Scala in addition to Python.\n\nBasic understanding of REST APIs, microservices, and event-driven architectures.\n\nExposure to Docker, Kubernetes, and CI/CD tools is a plus.\n\nExperience collaborating with ML teams on feature engineering or training data pipelines is an advantage.\n\nThe InMobi Culture\nAt InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.\nWe thrive on challenges and seize every opportunity for growth. Our core values - thinking big, being passionate, showing accountability, and taking ownership with freedom - guide us in every decision we make.\nWe believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.\nInMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.\nVisit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!","description_format":"text","description_chars":8159,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Advertising"],"lifecycle":[{"event":"open","at":"2026-10-28T12:59:10Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":55,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/inmobi-sde-ii-data-engineer-2","json_url":"https://alion.io/job/inmobi-sde-ii-data-engineer-2.json","meta":{"generated_at":"2026-10-31T00:15:31Z","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":408,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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-sde-ii-data-engineer-2"},{"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-sde-ii-data-engineer-2"},{"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-sde-ii-data-engineer-2"},{"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-sde-ii-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finmobi-sde-ii-data-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3397268}},{"tool":"search_jobs","arguments":{"company":"inmobi.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3397268},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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