{"id":1581440,"url":"https://alion.io/job/dentsu-data-engineer-5","title":"Data Engineer","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":115,"ghost_share":0,"stale_share":0.791,"repost_share":0.035,"time_to_fill_p50_days":26,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T13:20:37Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-02T17:09:27Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description:\nSenior Data Engineer - Content Ops & Site Quality\nRole Overview\nWe are looking for a Senior Data Engineer to support the Data Engineering ecosystem for Content Operations and Site Quality . The role will involve managing and enhancing large-scale data pipelines, data models, analytics infrastructure, and AI-driven solutions that support business and analytics teams.\nThe ideal candidate will have strong hands-on experience in SQL, PySpark, data engineering, cloud/data platforms, and a working understanding of Adobe Analytics and AI/LLM-based solutions.\nKey Responsibilities\nData Engineering & Platform Management (Must have)\nOwn and manage Data Engineering activities supporting Content Ops and Site Quality.\nDevelop, maintain, and optimize data pipelines supporting approximately 150 MDP tables, 2 SSAS Cubes, and multiple Airflow workflows.\nBuild and maintain scalable data processing solutions using SQL Server, Iceberg, PySpark, ECS, and Airflow.\nTroubleshoot data quality, pipeline, performance, and production issues and drive them through to resolution.\nSupport data modeling and development of reliable datasets for downstream analytics and reporting.\nAI & Analytics Solutions (Preferred)\nDevelop and enhance AI/LLM-based solutions, including RAG and agent-based applications.\nContribute to an AI agent/RAG solution that enables users to translate Adobe Analytics requirements into SQL queries.\nMaintain and enhance the Client’s chatbot assistant, including updates, new capabilities, and ongoing performance improvements.\nIdentify opportunities to leverage AI and automation to simplify data and analytics workflows.\nStakeholder & Solution Development\nPartner with business and analytics stakeholders to understand requirements and translate them into scalable technical solutions.\nContribute to solution design, technical discussions, and roadmap development.\nClearly communicate complex technical concepts and solutions to non-technical stakeholders.\nRequired Skills & Experience\nStrong hands-on experience in Data Engineering with SQL and PySpark.\nExperience with SQL Server, SSAS, Airflow, and modern data platforms.\nExperience working with Iceberg and cloud/container-based environments such as ECS.\nStrong understanding of data modeling, ETL/ELT, data pipelines, and data quality.\nExperience with Adobe Analytics or similar digital analytics platforms.\nExposure to AI/LLM solutions, RAG, AI agents, or Generative AI applications.\nStrong problem-solving and troubleshooting skills.\nAbility to work independently and manage multiple production-critical data assets.\nPreferred Skills\nExperience building RAG/agentic AI applications using LLMs.\nExperience converting business/analytics requirements into SQL and data solutions.\nExperience with APIs, Python, and cloud technologies.\nExperience developing stakeholder-facing analytics or AI solutions.\nStrong communication and stakeholder management skills.\nLocation:\nDGS India - Bengaluru - Manyata N1 BlockBrand:\nMerkleTime Type:\nFull timeContract Type:\nPermanent","description_format":"text","description_chars":3046,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Media & Entertainment","Creative Agencies","E-commerce Marketing","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-01T13:20:37Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["conf:2","stale_co","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dentsu-data-engineer-5","json_url":"https://alion.io/job/dentsu-data-engineer-5.json","meta":{"generated_at":"2026-10-03T00:56:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":709,"day_limit":5000,"remaining_today":4291,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}