{"id":3591995,"url":"https://alion.io/job/rapido-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4493672,"name":"Rapido","domain":"rapido.co.in","url":"https://alion.io/company/rapido-5","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":22000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Scala","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-01T17:23:39Z","employer_posted_date":null,"last_verified_at":"2026-11-01T17:23:39Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About Rapido\nFounded in 2015, Rapido is India's leading multi-modal mobility platform. What began with bike taxis has rapidly evolved to include auto-rickshaws, cab-hailing, and peer-to-peer deliveries. Today, Rapido commands a dominant 70% market share in bike taxis, 40% in auto rides, and holds the second-largest position in the cab segment with a 22% share—establishing us as the overall market leader in ride-hailing. With over 4 million rides completed daily and more than 2 billion rides served to date, Rapido operates in 200+ cities and is aggressively expanding toward a presence in 500 cities. In 2024, we proudly achieved unicorn status with a valuation of $1.1 billion.Driven by technology and innovation, we're expanding into new categories while remaining committed to improving last-mile connectivity and empowering livelihoods at scale.\n\nOpportunities don't happen, you create them!\n\nJob Summary:\nAs a Senior Data Engineer, you will design, create and implement optimal data pipelines. And also improve existing data pipelines and processes around it. Data accuracy, SLA adherence being core to our data product, it is expected to build & maintain robust & reliable data & infra pipelines. You are expected to communicate with producers and consumers of data to better understand the patterns of ingestion,processing & serving and thus bring goodness of best practices to our data pipelines. We believe in complete ownership of streams so as subject matter expert of certain streams you will be looking after the necessary infrastructure requirements for your pipelines and are expected to own end-to-end deployment of the same. Being in this role means that you will own multiple processes which directly impact business and are critical for daily operations. Also work with petabytes of data and hundreds of complex data pipelines.\n\nJob Responsibilities:\nCreate and improve complex data processing pipelines, while keeping accuracy, reliability and cost in mind and deploy the same using best Continuous Delivery practices.\nDeploy models in real-time applications either as part of a micro service(HTTP-HyperText Transfer Protocol or RPC-Remote Procedure Call) with bounded context or as real-time pipelines producing events in response to user actions on ground.\nMaintain infrastructure as code using tools like terraform and comfortable with working in kubernetes.\nBuild observability & alerting systems around data-pipelines.\nIdentify, analyze tech / architecture shortcomings in existing systems and proactively discuss in architecture forums with proposed solutions.\nBeing able to mentor, guide junior engineers for best engineering practices. Junior Developers will look up to you as mentors.\n\nJob Requirements:\nAround 5+ years of experience. For transitioned data engineers over all experience of 5+ years in preferred.\nExperience in Hadoop Distributed File System(HDFS), Simple storage Service (S3), NoSql Databases and distributed platforms like Hadoop, Spark, Flink, Hive, Kafka, Oozie, Airflow, Elastic search etc.\nExperience in any of MapR, Cloudera, and Horton Works and/ or cloud based Hadoop Distributions (Google Cloud Platform preferred).\nHave a good understanding of data modeling, Extract, Transform and Load(ETL), distributed systems.\nExperience creating and building data centric applications involving Machine Learning(ML) models.\nHands on experience with scheduling tools like Airflow, monitoring stack prometheus-grafana.\nFundamental software engineering principle & data structure knowledge are must.\n\nWhat's there for you\nIn the Data team at Rapido you will get exposure to every stack possible – big data, software engineering(java/scala), ML-ops,data-ops and more.\nBe a part of a platform which serves hundreds of users with their data needs with state of the art Trino clusters.\nGet to experience real time applications deployed in Flink.\nCreate and manage tools and frameworks built on top of open source technologies.\nWork with mammoth kubernetes clusters which host plethora of applications and tools.\nHands on experience on open source big data tools and its best practices. Excited to solve challenges\n\nJoin Rapido & chase bigger milestones too!","description_format":"text","description_chars":4199,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-01T20:09:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["seen:0","win:early"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/rapido-senior-data-engineer","json_url":"https://alion.io/job/rapido-senior-data-engineer.json","meta":{"generated_at":"2026-11-02T09:45:45Z","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":13617,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":4493672},"rest":"https://alion.io/mcp/rest/get_company?id=4493672"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frapido-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%2Frapido-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%2Frapido-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/rapido-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frapido-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3591995}},{"tool":"search_jobs","arguments":{"company":"rapido.co.in","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3591995},"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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