{"id":3672026,"url":"https://alion.io/job/coupang-data-engineering-lv-4","title":"Data Engineering Lv.4","company":{"id":239,"name":"Coupang","domain":"coupang.com","url":"https://alion.io/company/coupang","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":102,"ghost_share":0.088,"stale_share":0.176,"repost_share":0.127,"time_to_fill_p50_days":71,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Amazon S3","optional":true},{"name":"Dagster","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-11-03T04:30:27Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T19:34:39Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Company Introduction \nWe exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. \nWe are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. \nOur mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. \nWhat You Will Do\nBuild and manage analytics and production data ETL/ELT systems for high volume data ingestion from diversesources. \n\nPartner with Data Science, Engineering, and Product to enable reliable, accurate logging/implementation and usageacross the PPE domain.\n\nEnsure data quality, observability, and reliability across the data lifecycle.\nCreate and maintain dashboards and reporting infrastructure to surface key PPE metrics to stakeholders.\nOptimize systems for performance, cost efficiency, and scalability. \nLeverage LLMs and advanced prompt engineering to automate and extract insights from unstructured data, andaccelerate internal analytical workflows. \n\nDefine and manage SLAs for data systems.\nBasic Qualifications\n3+ years of relevant working experience in a data engineering or business intelligence role.\nProficiency in Data modelling, SQL and Python.\nExperience building and maintaining data pipelines (ETL/ELT) at scale.\nExperience in data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to nonexperts\nBachelor’s degree in Computer Science or equivalent.\nPreferred Qualifications\nHands-on experience with version control (GitHub), workflow orchestration, and ETL scheduling tools (e.g. Airflow,Dagster, DBT).\n\nExperience with distributed storage systems (e.g., HDFS, S3).\nFamiliarity with prompt engineering and using generative AI tools to solve data problems or automate contentgeneration.\n\nPrevious experience in e-commerce or retail domains.\nWorking knowledge of statistics and ML techniques.\nType of work model \nHybrid \nDetails to consider\nThose eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.\nPrivacy Notice \nYour personal information will be 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