senidata engineer岗位职责

[Responsibilities]
Design, build, optimize scalable reliable data pipelines at large scale, using Airflow, Spark, Presto, Hive to support key business functions.
Architect evolve data warehouse solutions fcritical domains such as e-commerce, logistics, user behavior.
Collaborate closely with infrastructure teams to shape enhance our internal big data platform, including tooling, performance, troubleshoting, automation.
Partner with cross-functional engineering, product, operations teams to deliver data solutions that enable analytics, experimentation, strategic decision-making.
Drive data quality, observability, governance efforts across theganization.

[Required Skills Experience]
Bachelor’s Master’s degree in Computer Science, Mathematics, Statistics, related quantitative field.
10+ years of work experience, with 5+ years of experience in data engineering, preferably within e-commerce, logistics, high-scale consumer internet domains.
Expert-level proficiency in SQL Python; working knowledge of Java Golang is a strong plus.
Deep experience with distributed data processing frameworks such as Spark Presto.
Strong understanding of data modeling, data architecture, data governance in large-scale environments.
Production experience with workflowchestration tools (e.g., Airflow) cloud platforms (e.g., AWS, S3, Kubernetes).
Familiarity with BI tools (e.g., Tableau, Looker) how they integrate with data platforms.
Proven track record of leading complex data projects end-to-end, working cross-functionally to align stakeholders drive impact.
Excellent communication skills in both Chinese English, with the ability to articulate technical concepts to non-technical audiences.

1、Design, build maintain batch real-time data systems pipelines
2、Develop ETL (extract, transform, load) processes to help extract manipulate data from multiple sources
3、Maintain optimize the data infrastructure required faccurate extraction, transformation, loading of data from a wide variety of data sources
Automate data workflows such as data ingestion, aggregation, ETL processing
4、Prepare raw data in OLAP databases a consumable dataset fboth technical non-technical stakeholders
5、Partner with data scientists functional leaders in different business units to deploy machine learning models
6、Ensure data accuracy, integrity, privacy, security, compliance through quality control procedures
7、Monitdata systems performance implement optimization strategies
Leverage data controls to maintain data privacy, security, compliance, quality fallocated areas of ownership

Required Knowledge Skills
1、Advanced SQL skills & experience in relational databases database design
2、Strong proficiency in data pipeline workflow management
3、Experience building deploying machine learning models
4、Experience working with Kubernetes container platform
5、Great numerical, analytical problem-solving skills
6、Excellent communicationganizational skills
7、Proven ability to work independently with a team

IT Knowledge Applications
1、Experience working with data streaming related platforms (e.g., Apache Kafka, ksqlDB, Apache Pino, etc.)
2、Experience working with large data sets distributed computing (e.g., Hadoop/Spark, Presto/Trino, Superset, etc.)
3、Proficiency in programming languages, e.g., Python, Java, Go, etc.

【Job Description】
Are you obsessed with data, partner success, taking action, changing the game? If you have a whole lot of hustle a touch of nerd, come work with Pattern use your skills to push one of the fastest-growing companies in the US to the top of the list!

Pattern is the premier partner fglobal eCommerce acceleration is headquartered in Utahs Silicon Slopes tech hub with offices in Asia, Australia, Europe, the Middle East, North America. Valued at $2 billion, Pattern has been named one of the fastest-growing tech companies in North America by Deloitte one of best-led companies in America by Inc. More than 100 global brands like Nestle, Sylvania, Kong, Panasonic, Sorel, Skullcandy, Popsockets rely on Patterns global eCommerce acceleration platform to scale their business around the world. Pattern has recruited talent from brands like Amazon, eBay, Adobe, Pepsico, Apple, Google,acle.

Were looking fa dynamic, innovative, passionate, highly analytical person to join our development team in our office Guangzhou, China. This role will report to the Head of Engineering, APAC.

Pattern values data the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains our competitive edge.

If this sounds like you, please apply. You’ll be in good company!

【Essential Responsibilities】
● Develop, deploy, support real-time, automated, scalable data streams from a variety of sources the data lake data warehouse.
● Develop implement data auditing strategies processes to ensure data quality;
● Identify resolve problems associated with large scale data processing workflows;
● implement technical solutions to maintain data pipeline processes troubleshoot failures
● Collaborate with technology teams partners to specify data requirements provide access to data
● Tune application query performance using profiling tools SQL other relevant query language
● Understbusiness, operations, analytics requirements fdata
● Build data expertise own data quality fassigned areas of ownership
● Work with data infrastructure to triage issues drive to resolution

【Required Qualifications】
● Experience working with time series databases
● Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, tuning
● Advanced knowledge of Snowflake, including the ability to writechestrate streams tasks
● Background in Big Data, non-relational databases, Machine Learning Data Mining
● Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, Glue
● Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, ElasticSearch
● Expertise in Data Quality Data Governance
● Proficiency in English (Writing & Speaking) is preferred

【We are looking findividuals who are】
● Game Changers - A game changer is someone who looks at problems with an open mind shares new ideas with team members, regularly reassesses existing plans attaches a realistic timeline to goals, makes profitable, productive, innovative contributions, actively pursues improvements to Pattern’s processes outcomes.
● Data Fanatics - A data fanatic is someone who recognizes problems seeks to understthem through data, draws unbiased conclusions based on data that lead to actionable solutions, continues to track the effects of the solutions using data.
● Partner Obsessed - An individual who is partner obsessed clearly explains the status of projects to partners relies on constructive feedback, actively listens to partner’s expectations, delivers results that exceed them, prioritizes the needs of your partners, takes the time to a personable experience fthose interacting with Pattern.
● Team of Doers - Someone who is a part of a team of doers uplifts team members recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, holds themselves accountable to the team as well as to partners.

【What is the hiring process?】
● Initial phone interview with Pattern’s talent acquisition team
● Video interview with a hiring manager
● Onsite interviews with panels of cross-department leaders
● Final video interview with a senimember of Pattern Product team
● Professional reference checks
● Executive review
● Offer

【How can I stout as an applicant?】
● Be prepared to talk about professional accomplishments with specific data to quantify examples
● Be ready to talk about how you can add value be the best addition to the team
● Focus on mentioning how you would be partner obsessed at Pattern
● Be prepared to talk about any side projects related to data analytics

Pattern provides equal employment opportunities to all employees applicants femployment prohibits discrimination harassment of any type without regard to race, color, religion, age, , nationaligin, disability, status, genetics, protected veteran status, sexualientation, gender identity expression, any other characteristic protected by federal, state, local laws.

【职位简介】
你是否热爱数据、关注合作伙伴成功、注重行动并渴望颠覆行业？
如果你具备超强执行力，又不乏技术“极客”精神，欢迎加入 Pattern！在这里，你将用你的技能助力这家美国增长*快的科技公司之一冲刺更高舞台。
Pattern 是*的电商增长加速平台，总部位于美国犹他州“硅坡”（Silicon Slopes）科技中心，在亚洲、澳大利亚、欧洲、中东和北美设有办公室。公司估值达 20 亿美元，曾被 Deloitte 评为北美增长*快的科技公司之一，并被《Inc.》评为美国优秀管理公司之一。
我们服务于包括 Nestle、Sylvania、Kong、Panasonic、Sorel、Skullcandy 和 Popsockets 在内的 100 多个全球知名品牌，帮助他们通过 Pattern 全球电商平台拓展国际市场。我们的团队来自 Amazon、eBay、Adobe、Pepsico、Apple、Google 和acle 等*公司。
我们正在为广州的 Pattern Asia 团队招聘一位高级数据工程师，该职位将向亚太区工程总监（Head of Engineering, APAC）汇报。
在 Pattern，我们高度重视数据及其背后的工程能力。作为数据工程师，你将解决对公司竞争力具有关键影响的核心业务问题。

如果你热爱挑战，欢迎申请加入我们的团队！

【主要职责】
1. 构建、部署并维护来自多种数据源的实时、自动化、可扩展的数据流管道至数据湖或数据仓库。
2. 实施数据审核策略与流程，确保数据质量，处理大规模数据处理流程中的问题，维护数据管道稳定运行，解决数据流中断等故障。
3. 与技术团队及业务合作方协作，明确数据需求，并提供数据访问支持。
4. 使用 SQL 或其他查询语言及分析工具优化查询性能。
5. 理解业务、运营与分析团队对数据的实际需求。
6. 对所负责数据领域建立深入理解，确保数据质量。
7. 与数据基础设施团队协作，定位并解决系统问题。

【任职资格 — 必备条件】
1. 数据科学、数据分析、信息管理、计算机科学、信息技术等相关专业本科或硕士学历，或等同的职业经验。
2. 6–8 年以上数据工程相关经验。
3. 至少 3 年 SQL 实操经验。
4. 至少 3 年现代数据仓库架构实践经验。
5. 至少 2 年使用 Redshift、BigQuery、Snowflake 等数据仓库经验，了解其架构设计。
6. 熟悉 Kafka、Spark、Hadoop 等大数据工具。
7. 扎实的软件工程基础及脚本编写能力。
8. 出色的沟通与协作能力，能将复杂技术内容传达给技术与非技术人员。
9. 精通处理来自多个来源的大规模数据集。
10. 具备良好的英文读写能力（必须）。

【任职资格 — 加分项】
1. 有时间序列数据库使用经验。
2. 熟练掌握 SQL，包括存储过程、触发器、分析函数、窗口函数等。
3. 精通 Snowflake，包括流（Stream）与任务（Task）的构建与编排。
4. 有大数据、非关系型数据库、机器学习、数据挖掘相关背景。
5. 熟悉云服务工具：SNS、SQS、SES、S3、Lambda、Glue 等。
6. 熟悉现代数据平台：如 Redshift、Cassandra、DynamoDB、Airflow、Spark 或 ElasticSearch。
7. 熟悉数据质量与数据治理体系。
8. 能流利沟通的英语能力将是加分项。

【我们的文化】
数据驱动者（Data Fanatics）：一切从数据出发。
客户至上（Partner Obsessed）：我们致力于客户的成功。
执行型团队（Team of Doers）：强调行动力。
变革*（Game Changers）：鼓励创新与突破。

【为什么加入 Pattern？】
这是一艘正在起飞的火箭，公司发展速度惊人。
市场前景广阔，机会无穷，团队刚刚起步。
你将接触真正具有挑战性与价值的项目。
优厚的福利待遇，包括带薪假期、商业保险、有竞争力的薪酬。
与优秀技术人才共事，快速成长，影响全球市场。

【招聘声明】
Pattern 为所有员工与求职者提供平等就业机会。我们严格禁止基于种族、肤色、宗教、年龄、性别、国籍、残疾、基因信息、退伍军人身份、性取向、性别认同或表达、或其他受法律保护特征的任何形式歧视与骚扰。