JobCannon
全部技能

Stitch Singer Taps

⬢ 層級 2技術
高
薪資影響
3 個月
學習時長
困難
難度
2
職業
一覽

Singer is an open standard for data extraction (taps) and loading (targets). Singer taps are Python scripts that extract data from a source and emit JSON events. When Stitch doesn't have a built-in connector, you build a custom tap. Data engineers and integration specialists build taps for SaaS APIs, internal databases, and custom systems. Salary: $120-180k USD. Time to proficiency: 6-8 weeks. Related to etl-pipelines and api-integration.

什麼是 Stitch Singer Taps

Singer is an open standard for data extraction and loading. A Singer tap is a Python script that extracts data from a source (API, database, file) and emits standardized JSON messages (SCHEMA, RECORD, STATE). Building custom Singer taps is how data teams integrate unsupported sources. When Stitch doesn't have a built-in connector, you write a tap and plug it into Stitch. Singer taps are highly reusable: once built, they work with any Singer-compatible target (data warehouse, data lake, analytics platform). The ecosystem is growing; open-source taps are available on GitHub and Singer.io. Demand for custom data integration is high; not all sources have built-in connectors. Building Singer taps is a valuable skill: it's reusable, standardized, and in short supply. Data engineers who can build taps command premium salaries ($150-220k USD senior). It's also a gateway to the modern data stack: understanding Singer opens doors to Meltano, Airbyte (which also supports Singer), and other integration platforms.

🔧 工具與生態
PythonSinger SpecificationREST APIsSQL DatabasesJSONSinger Tap FrameworkTesting ToolsStitch

📋 開始之前

Python

💰 各地區薪資

地區初級中級高級
USA$100,000$150,000$220,000
UK£70,000£110,000£160,000
EU€75,000€115,000€170,000
CANADACA$95,000CA$145,000CA$210,000

🎯 使用 Stitch Singer Taps 的職業

Ai Implementation Specialist
Blockchain Auditor

❓ 常見問題

What's a Singer tap?
A Singer tap is a Python script that extracts data from a source (API, database, file) and outputs newline-delimited JSON. It follows the Singer specification: SCHEMA, RECORD, STATE messages.
Why use Singer vs. building your own ETL?
Singer is a standard; taps are reusable across different targets (data warehouses, data lakes). Once you build a tap, it works with Stitch, Meltano, other Singer consumers. Non-standard approaches are isolated.
How do you handle pagination in a tap?
Taps manage pagination internally. Track offset/cursor in STATE; emit RECORD messages for each row. On restart, load the STATE and resume from where you left off. Meltano and Stitch handle this for you.
What's the difference between a tap and a target?
A tap is extraction (source → JSON). A target is loading (JSON → destination). Taps are more common to build; targets are usually built by platform teams.
How do you test a custom tap?
Test schema, record format, pagination, error handling. Use Singer spec validators. Test against a test target (Stitch, Meltano). Integration test end-to-end.

不確定這項技能適不適合你？

做一下職業匹配，我們會推薦合適的方向。

找到最適合我的技能 →

找到理想的職業方向

在 2,521 個職業中進行技能匹配。免費。

免費做職業匹配 →