The user wants a 1500+ Chinese article about "数据江湖双雄对决，分析师与工程师谁主沉浮？". Must be 6-8 paragraphs, each 150-250 words. Title already given and they said "直接输出正文，不要标题". So output only the article body, no title. Must be at least 1500 characters? Actually they said must reach 1500 characters? They said "字数要求：必须写满1500字，不能少于1050字！". So need at least 1500 Chinese characters (words). Each paragraph 150-250 characters? They said "每段150-250字". Probably characters. So need 6-8 paragraphs each 150-250 characters, total 1500+ characters. Let's aim for 7 paragraphs of about 210 characters each => 1470 characters; need >1500, so maybe 8 paragraphs of 200 each => 1600 characters. Let's produce 8 paragraphs each ~200 Chinese characters. Must be natural, avoid AI patterns, no listed banned phrases. Must not use the banned words at start of paragraphs etc. Must not use "、". Also avoid "" etc. Must not use "让我们...", "。他们分别站在洞察与基建的两端，形成了当下职场最鲜明的对峙。谁能在这场江湖争夺中主宰未来，成了不少职业人士关注的焦点。"
Count characters: Let's count roughly. Chinese characters count each. Let's approximate: "在信息爆炸的今天，数据成了新的油田，而数据分析师和大数据工程师正是抽油与筑坝的两位核心工人。" That's ~38? Let's count precisely later. But need 150-250 characters per paragraph, not words. So need longer. Let's aim for ~200 characters.
Paragraph 1 (approx 200 chars): "在信息爆炸的今天，数据犹如新 era 的油田，而数据分析师和大数据工程师恰似抽油与筑坝的两位关键角色。前者负责从海量信息中挖掘价值，后者则负责搭建支撑全局的基础设施。两者的职能截然不同，却在推动企业转型的浪潮中互相牵动，形成了当下职场最具话题性的对峙。"
Need to count characters. Let's approximate: I'll count quickly: "在信息爆炸的今天，" (9) "数据犹如新 era 的油田，" (10?) Let's maybe trust it's around 200. I'll write more.
Paragraph 2: talk about analyst daily work, tools, questions.
Paragraph 3: talk about engineer daily work, pipelines, performance.
Paragraph 4: compare skill sets, background, learning path.
Paragraph 5: talk about collaboration tension, how they depend on each other.
Paragraph 6: talk about market demand, salary, job titles.
Paragraph 7: talk about future trends, AI, automation, upskilling.
Paragraph 8: concluding perspective, who will dominate? nuanced answer.
Make sure each paragraph 150-250 characters. Let's aim for 200 each. 8*200=1600 >1500.
Now write paragraphs without using banned words. Avoid "". Use natural flow.
Paragraph 1 (approx 200 chars):
"的油田，而数据分析师和大数据工程师恰似抽油与筑坝的两位关键角色。前者负责从海量信息中挖掘价值，后者则负责搭建支撑全局的基础设施。两者的职能截然不同，却在推动企业转型的浪潮中互相牵动，形成了当下职场最具话题性的对峙。"
Count characters? Let's count roughly: I'll count characters manually (including punctuation?). Probably around 150? Let's count:
"数据犹如新时代的油田，" (11) => total 20
"而数据分析师和大数据工程师恰似抽油与筑坝的两位关键角色。" (27?) Let's count: "而"(1) "数据分析师和大数据工程师" (13?) Actually count: 数据(2) 分析师(3) 和(1) 大数据工程师(5) = 2+3+1+5 =11? plus "恰似抽油与筑坝的两位关键角色" maybe 12. Hard. Let's approximate total maybe 120. Need 150-250. Let's add more sentences.
Add: "前者通过统计模型、机器学习和可视化工具把隐藏的模式搬到光面，帮助决策者把握趋势；而后者则在云端搭建管道、优化作业调度，让海量日志转化为可靠的数据流。" That adds more.
Let's rewrite paragraph 1 fully with about 200-230 characters.
"的油田，而数据分析师和大数据工程师恰似抽油与筑坝的两位关键角色。前者通过统计建模、机器学习和可视化工具把隐藏的模式搬到光面，帮助决策者把握趋势；而后者则在云端搭建管道、调优作业流程，让海量日志转化为稳定的数据流。两者虽分工不同，却在推动企业数字化转型的浪潮中互相牵动，形成了当下职场最具话题性的对峙。"
Now count characters roughly: Let's count quickly: I'll count characters ignoring spaces (there are none).
"数据犹如新时代的油田，" = 11? Actually characters: 数据(2) 犹(1) 如(1) 新(1) 时代(2) 的(1) 油(1) 田(1) ， = 2+1+1=11? plus punctuation maybe count but fine. Let's just approximate total maybe 150-180. Might be okay.
But we need 150-250 characters per paragraph, not words. So it's okay if it's around 180.
Paragraph 2: talk about analyst daily tasks.
"数据分析师的工作节奏往往围绕业务问题展开。他们先把业务流程拆解成可量化的指标，再在 Python、SQL 等语言上写查询脚本，使用 Pandas、Scikit‑learn 等库进行清洗、建模和可视化。每一次洞察背后都伴随假设检验和结果复盘，报告的背后是对不确定性的持续思考。"
Need ~200 characters. Let's count roughly: This seems maybe 180-200. Add more.
Add: "他们经常在会议室里把复杂的统计结论转化为决策建议，既要解释模型的假设，又要提醒潜在的偏差。"
"数据分析师的工作节奏往往围绕业务问题展开。他们先把业务流程拆解成可量化的指标，再在 Python、SQL 等语言上写查询脚本，使用 Pandas、Scikit‑learn 等库进行清洗、建模和可视化。每一次洞察背后都伴随假设检验和结果复盘，报告的背后是对不确定性的持续思考。他们经常在会议室里把复杂的统计结论转化为决策建议，既要解释模型的假设，又要提醒潜在的偏差。"
Paragraph 3: engineer tasks.
"大数据工程师则把注意力放在系统的骨架上。他们负责设计分布式存储、批处理与流式计算的管道，选用 Kafka、Spark、Flink 等技术实现数据的实时输入与离线归档。性能调优、资源管理和容错机制是他们日常检查的重点，任何延迟
