{"id":2507673,"url":"https://alion.io/job/wizcommerce-data-engineer-2","title":"Data Engineer","company":{"id":6568,"name":"WizCommerce","domain":"wizcommerce.com","url":"https://alion.io/company/wizcommerce","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Kula","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":16500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-13T08:00:55Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T05:18:37Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About WizCommerce\nWholesale distribution is a $10T+ industry - and most of it still runs on fax, spreadsheets, and legacy ERPs. We're here to change that.\nWizCommerce is the AI Operating System for B2B Trade. We build AI-native commerce solutions that sit on top of the ERPs distributors already use - no rip and replace, no 12-month implementations. Just real transformation, fast.\nOur platform combines an AI-native CRM, B2B website builder, embedded finance, and AI co-workers (order entry, quoting, content) into one unified system built for how wholesale actually works.\nThe results speak for themselves:\n180% Net Revenue Retention\n4X YoY ARR growth\n400% growth in customers with >$50K ACV\n95% implementation success rate (vs. an industry average of 30%)\nWe serve 150+ customers across North America - from Jaipur Living to Loloi - and we're a fast-growing team backed by Peak XV Partners, Blume Ventures, Alpha Wave Global, and others.\nIf you want to build category-defining software in a massive, underserved industry - with a team that has genuinely lived the problem - WizCommerce is the place to be.\nOur product ecosystem includes:\nWizOrder: AI-powered, mobile-first ordering system for B2B order journeys-even offline.\n\nWizShop: AI-driven, 24/7 self-service B2B ecommerce platform.\n\nWizStudio: AI-powered creative platform generating studio-quality lifestyle imagery.\n\nKAI: Industry's first AI-powered sales assistant with RAG, customer intelligence, and workflow automation.\n\nWizCRM & WizPay: AI-enhanced CRM and flexible B2B payment solutions.\n\nWizAgent (Roadmap): Agentic marketplace where autonomous AI agents facilitate B2B transactions.\nThe Role\nAs our Data Engineer, you'll be foundational in building scalable data pipelines, data warehousing solutions, and real-time analytics infrastructure that unlock powerful insights for our teams and our customers. You'll own the entire data lifecycle-from ingestion and transformation to storage and delivery-ensuring our data systems scale reliably with our ambitious growth trajectory.\nRoles & Responsibilities\nDesign, build, and optimize data pipelines for robust analytics and reporting solutions.\n\nDevelop and maintain data warehouses and data lakes, ensuring performance, reliability, and scalability.\n\nWork closely with product, analytics, and engineering teams to identify data requirements and deliver high-quality datasets.\n\nImplement real-time and batch data processing solutions to support internal reporting and external customer dashboards.\n\nEnsure data accuracy, integrity, and consistency through rigorous data quality checks and monitoring.\n\nChampion best practices around data governance, security, and compliance.\n\nCollaborate to build analytics solutions that drive actionable insights, powering WizCommerce’s growth.\n\nOpportunities You’ll Own\nLead the development of robust and efficient ETL/ELT processes that support analytics and operational use cases.\n\nDrive initiatives to enhance data quality, reliability, and scalability, directly influencing strategic decisions across the business.\n\nEstablish real-time data processing frameworks and event-driven architectures that enable immediate, actionable insights for internal teams and customers.\n\nOwn the evaluation and integration of new data technologies and tools, continuously optimizing our data stack to meet evolving business needs.\n\nSpearhead data governance, security protocols, and compliance standards, ensuring our data practices adhere to industry-leading standards.\n\nMust-Have Qualifications\n4+ years of professional experience in Data Engineering, ideally within a fast-paced SaaS or tech company.\n\nHands-on experience building and maintaining large-scale data pipelines (ETL/ELT) using modern technologies such as Airflow, dbt, Apache Spark, Kafka, or similar.\n\nStrong proficiency in SQL, Python, and cloud infrastructure (AWS, GCP, or Azure).\n\nProven track record working with cloud-based data warehousing solutions (Snowflake, BigQuery, Redshift).\n\nExperience implementing monitoring, alerting, and logging for complex data environments.\n\nDeep understanding of data modeling concepts and schema design.\n\nPreferred Qualifications\nFamiliarity with real-time analytics and event-driven architectures.\n\nExperience with BI tools such as Looker, Tableau, Power BI, or similar.\n\nExposure to containerization and orchestration technologies like Docker and Kubernetes.\n\nA proactive \"builder’s mindset\" with exceptional problem-solving and analytical skills.\n\nLearn more: 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