{"id":1253296,"url":"https://alion.io/job/twinpacs-sdn-bhd-senior-data-engineer-real-time-analytics","title":"Senior Data Engineer - Real-Time Analytics","company":{"id":3800702,"name":"TwinPacs","domain":"twinpacs.com","url":"https://alion.io/company/twinpacs-sdn-bhd","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Flink","optional":false},{"name":"GraphQL","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-10T09:48:49Z","employer_posted_date":null,"last_verified_at":"2026-09-10T09:48:49Z","board_verified":false,"closed_at":null,"days_open":43,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":43},"description":"Role Overview:\n\nSenior Real-time Data Engineer to lead the architecture and development of our customer-facing analytics engine. Our Sales Engagement Platform processes millions of events daily - from email interactions to live call metadata. Your mission is to transform this firehose of raw data into high-performance, actionable insights for our users. You will bridge the gap between backend data systems and the user interface, building a robust Semantic Layer that ensures our customers see the same \"Single Source of Truth\" across every dashboard, report, and API.\n\nKey Responsibilities:\n\n- Architecture & Scaling: Design and maintain a low-latency analytics stack capable of handling high-concurrency queries from thousands of concurrent SaaS users.\n\n- Real-time Ingestion: Build and optimize ingestion pipelines that move data from transactional databases (PostgreSQL) and event streams (Kafka/Kinesis) into Apache Pinot.\n\n- Semantic Layer Development: Use Cube (Cube.js) to model complex sales metrics (e.g., \"Sequence Conversion Rate,\" \"Attributed Revenue,\" \"Meeting Booked Rate\") ensuring consistency across the application.\n\n- Performance Engineering: Optimize Apache Pinot tables, indexing strategies, and Cube pre-aggregations to ensure dashboard widgets load in under 300ms.\n\n- API Strategy: Expose data models via REST/GraphQL APIs, collaborating closely with Frontend Engineers to build world-class data visualizations.\n\n- Data Governance: Implement multi-tenant security logic within the semantic layer to ensure strict data isolation between different customer accounts.\n\nTechnical Requirements:\n\n- OLAP Expertise: 3+ years of experience with Apache Pinot (or similar technologies like ClickHouse/StarRocks) in a production environment.\n\n- Semantic Modeling: Deep experience with Cube (Cube.js), including advanced features like pre-aggregations, security contexts, and multi-tenant configurations.\n\n- Data Store Mastery: Expert-level knowledge of PostgreSQL, specifically in the context of analytical query optimization and Change Data Capture (CDC).\n\n- Streaming & Ingestion: Hands-on experience with real-time data movement (Debezium, Kafka, or Flink).\n\n- Software Craftsmanship: Proficiency in Node.js or Python, with a focus on building scalable backend services.\n\n- Language: Mastery of 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