NewExchange
Technical Development17h ago
Bitget
About us
Bitget is the world's largest Universal Exchange (UEX), serving over 125 million users and offering access to over 2M crypto tokens, 100+ tokenized stocks, ETFs, commodities, FX, and precious metals such as gold. The ecosystem is committed to helping users trade smarter with its AI agent, which co-pilots trade execution.
Bitget is driving crypto adoption through strategic partnerships with LALIGA and MotoGP™. Aligned with its global impact strategy, Bitget has joined hands with UNICEF to support blockchain education for 1.1 million people by 2027. Bitget currently leads in the tokenized TradFi market, providing the industry's lowest fees and highest liquidity across 150 regions worldwide.
What you'll do
• Be responsible for the construction and data development of big data platforms in business domains such as transactions, funds, settlement, accounting, and finance.
• Be responsible for the collection, cleaning, processing, summarization, and data model construction of accounting-related data, including data development at the detail level, summary level, subject level, and report level.
• Participate in the clarification of the standards and data governance of core accounting indicators such as account balance, transaction flow, income and cost, handling fees, fund flow, and reconciliation differences, to ensure data accuracy, consistency, and traceability.
• Build offline and real-time data warehouse tasks based on big data components such as Hive, Spark, Flink, ClickHouse, and StarRocks, to support accounting reports, business analysis, risk control monitoring, and reconciliation scenarios.
• Be responsible for writing, optimizing complex SQLs, and optimizing the performance of data tasks to improve the efficiency and stability of large-scale data processing.
• Use DataWind or similar BI/reporting tools to build accounting, funds, settlement, and business analysis thematic reports and data dashboards.
• Have certain Java development capabilities and be able to participate in the development and maintenance of data services, task scheduling, data interfaces, data verification tools, or related background services.
• Build data quality monitoring, task alerts, data verification, and anomaly investigation mechanisms to ensure that daily closing, monthly closing, and key report data are produced on time and accurately.
• Work with product, finance, settlement, R&D, risk control, and operation teams to understand business requirements and complete data solution design and delivery.
• Compile data development norms, indicator standards, data dictionaries, and related technical documents.
What you'll need
• Bachelor's degree or above, majoring in Computer Science, Software Engineering, Mathematics, Statistics, Financial Engineering, etc.; at least 3 years of experience in big data development or data warehouse development.
• Proficient in SQL, capable of writing complex SQL queries and performing performance tuning, able to handle large-scale detailed data, aggregated data, and multi-table association scenarios.
• Comprehensive knowledge of Hadoop ecosystem and common big data components, including but not limited to Hive, Spark, Flink, Kafka, HDFS, YARN, ClickHouse, StarRocks, Doris, etc.
• Experienced in offline data warehouse and real-time data warehouse development, understanding the hierarchical concepts of data warehouses (ODS, DWD, DWS, ADS) and dimension modeling methods.
• Have certain Java coding skills, familiar with Java basics, multithreading, collections, JVM, common frameworks or service development processes; able to independently read, troubleshoot and modify Java business code.
• Proficient in at least one BI/reporting tool such as DataWind, Quick BI, FineBI, Tableau, Power BI, etc., capable of independently developing data sets, indicators, dashboards and reports.
• Have experience in data quality management, familiar with data verification, data supplementation, task re-running, lineage tracking, anomaly alerts, etc.
• Strong problem analysis and communication skills, able to deeply understand business rules and convert them into reliable data models and implementation plans.
• Work diligently, have strong data sensitivity and responsibility, and be able to meet the high requirements for accuracy and timeliness of accounting and financial data.
岗位职责：
• 负责交易、资金、清结算、账务、财务等业务域的大数据平台建设与数据开发。
• 负责账务相关数据的采集、清洗、加工、汇总及数据模型建设，包括明细层、汇总层、主题层及报表层数据开发。
• 参与账户余额、流水、收入成本、手续费、资金流水、对账差异等核心账务指标的口径梳理和数据治理，保障数据准确性、一致性和可追溯性。
• 基于 Hive、Spark、Flink、ClickHouse、StarRocks 等大数据组件，建设离线及实时数仓任务，支持账务报表、经营分析、风控监控及对账场景。
• 负责复杂 SQL 的编写、调优及数据任务性能优化，提升大规模数据处理效率和稳定性。
• 使用 DataWind 或同类 BI/报表工具，建设账务、资金、清结算、经营分析等主题报表和数据看板。
• 具备一定 Java 开发能力，能够参与数据服务、任务调度、数据接口、数据校验工具或相关后台服务的开发与维护。
• 建设数据质量监控、任务告警、数据核对和异常排查机制，保障日结、月结及关键报表数据按时准确产出。
• 与产品、财务、清结算、研发、风控及运营团队协作，理解业务需求并完成数据方案设计和交付。
• 编写数据开发规范、指标口径、数据字典及相关技术文档。
任职要求：
• 本科及以上学历，计算机、软件工程、数学、统计、金融工程等相关专业；3 年及以上大数据开发或数据仓库开发经验。
• 熟练掌握 SQL，具备复杂 SQL 编写和性能调优能力，能够处理大规模明细数据、汇总数据及多表关联场景。
• 熟悉 Hadoop 生态及常见大数据组件，包括但不限于 Hive、Spark、Flink、Kafka、HDFS、YARN、ClickHouse、StarRocks、Doris 等。
• 有离线数仓和实时数仓开发经验，理解 ODS、DWD、DWS、ADS 等数仓分层理念及维度建模方法。
• 具备一定 Java Coding 能力，熟悉 Java 基础、多线程、集合、JVM、常用框架或服务开发流程；能够独立阅读、排查和修改 Java 业务代码。
• 熟悉 DataWind、Quick BI、FineBI、Tableau、Power BI 等至少一种 BI/报表工具，能够独立完成数据集、指标、仪表盘及报表开发。
• 有数据质量管理经验，熟悉数据核对、数据补数、任务重跑、血缘追踪、异常告警等机制。
• 具备较强的问题分析和沟通能力，能深入理解业务规则并将其转化为可靠的数据模型和实现方案。
• 工作认真细致，有较强的数据敏感性和责任心，能够接受账务、资金类数据对准确性和时效性的高要求。
Why Bitget?
If you are ambitious and believe that digital assets could be the next financial and technological revolution, please apply!
For more information regarding candidates' personal data processing, please refer to Bitget Candidate Privacy Notice.