Analytics Engineer

Transforming raw data into analytics-ready models using dbt and SQL

Data Engineering Junior Middle Senior Lead / Staff Principal
完整矩阵 职业路径 PDF
53 技能
5 级别
147 必备
264 要求

Analytics Engineer是Data Engineering族群中的角色。涵盖5个级别的53项技能(从Junior到Principal)。其中147项为必备技能。关键领域:Programming Fundamentals, Backend Development, Database Management。

技术栈

Junior SQL, dbt Core, ClickHouse/BigQuery/Snowflake, Git, YAML, Jinja basics
Middle SQL advanced, dbt (macros, packages, tests), ClickHouse/BigQuery, Airflow, Great Expectations, Looker/Metabase
Senior dbt advanced (custom materializations), Semantic layer (MetricFlow/Cube), Data contracts, Data quality frameworks
Lead / Staff Analytics platform, dbt Cloud/Mesh, Data governance, Self-service BI strategy, Cost optimization
Principal Enterprise analytics architecture, Data mesh, Semantic layer strategy, Multi-warehouse

各级别重点

Junior

Writing dbt models. SQL transformations. Documenting models. Data quality tests. Working with data warehouse.

Middle

Designing analytical models (Star Schema, OBT). Setting up dbt best practices. Metrics layer. Orchestration.

Senior

Analytics stack architecture. Semantic layer. Data contracts. Performance optimization. Self-service analytics.

Lead / Staff

Analytics engineering strategy. Data modeling standards. Coordination with data and product teams. Data governance.

Principal

Enterprise analytics architecture. Data mesh analytics. Semantic layer strategy. Industry best practices.

技能矩阵

53 技能 × 5 级别. 点击单元格查看详情。

A Awareness W Working V Advanced E Expert

AI-Assisted Development

4 技能
技能 Jun Mid Sen Lead Princ
GitHub Copilot A W A E E
Cursor IDE A W A E E
ChatGPT / Claude A W A E E
Prompt Engineering for Code A W A E

API & Integration

3 技能
技能 Jun Mid Sen Lead Princ
REST API Design A W A E E
GraphQL Design A W A E E
API Documentation A W A E E

Architecture & System Design

1 技能
技能 Jun Mid Sen Lead Princ
System Design Fundamentals A W A E E

Backend Development

4 技能
技能 Jun Mid Sen Lead Princ
Python Web Frameworks A W A E E
Apache Kafka A W A E E
Redis A W A E E
Elasticsearch / OpenSearch A W A E E

Cloud & Infrastructure

4 技能
技能 Jun Mid Sen Lead Princ
Docker A W A E E
Kubernetes Core A W A E E
AWS A W A E E
Network Fundamentals A W A E E

Data Engineering

12 技能
技能 Jun Mid Sen Lead Princ
dbt A W A E E
Pandas / Polars A W A E E
SQL-based ETL A W A E E
Data Lake Architecture A W A E E
Data Warehouse Design A W A E E
Data Catalog A W A E E
Data Lineage A W A E E
Data Contracts A W A E E
Data Quality A W A E E
Apache Airflow A W A E E
Dagster / Prefect A W A E E
BI Dashboards A W A E E

Database Management

6 技能
技能 Jun Mid Sen Lead Princ
PostgreSQL A W A E E
ClickHouse A W A E E
Database Indexing A W A E E
Query Optimization A W A E E
Data Modeling & Schema Design A W A E E
Database Migrations A W A E E

DevOps & CI/CD

1 技能
技能 Jun Mid Sen Lead Princ
GitHub Actions / GitLab CI A W A E E

Observability & Monitoring

3 技能
技能 Jun Mid Sen Lead Princ
Structured Logging A W A E E
Prometheus & Grafana A W A E E
OpenTelemetry A W A E E

Programming Fundamentals

8 技能
技能 Jun Mid Sen Lead Princ
Algorithms & Complexity A W A E E
Data Structures A W A E E
OOP & SOLID Principles A W A E E
Design Patterns A W A E E
Multithreading A W A E E
Async Programming A W A E E
Code Quality & Refactoring A W A E E
Type Safety & Type Systems A W A E E

Security

2 技能
技能 Jun Mid Sen Lead Princ
OWASP & Application Security A W A E E
Secure Coding Practices A W A E E

Testing & QA

2 技能
技能 Jun Mid Sen Lead Princ
Unit Testing A W A E E
Integration Testing A W A E E

Version Control & Collaboration

3 技能
技能 Jun Mid Sen Lead Princ
Git Advanced A W A E E
Code Review A W A E E
Documentation as Code A W A E E

常见问题

Analytics Engineer角色需要哪些技能?

Analytics Engineer角色需要53项技能,其中147项为必备。技能分布在5个级别:从Junior到Principal。 查看完整矩阵.

如何在Analytics Engineer角色中晋升到下一级别?

使用等级计算器评估您当前的级别并获取个性化建议。系统将显示晋升所需发展的技能。

Analytics Engineer角色使用什么技术栈?

技术栈包含5种不同级别的技术。 SQL, dbt Core, ClickHouse/BigQuery/Snowflake, Git, YAML, Jinja basics, SQL advanced, dbt (macros, packages, tests), ClickHouse/BigQuery, Airflow, Great Expectations, Looker/Metabase, dbt advanced (custom materializations), Semantic layer (MetricFlow/Cube), Data contracts, Data quality frameworks...

社区如何定义Analytics Engineer角色的要求?

角色要求由社区通过提案系统制定。任何成员都可以提出修改建议,经过投票和专家评审后生效。

社区

👁 关注 ✏️ 建议修改 登录以建议修改
📋 提案
暂无提案 Analytics Engineer
正在加载评论...