AWS 数据工程师（助理）
AWS Data Engineer (Associate)
Mactores 是一家在提供现代数据平台解决方案方面备受信赖的领先企业。自 2008 年以来，Mactores 一直通过提供自动化、敏捷且安全的端到端数据解决方案，帮助企业加速价值实现。我们与客户合作，通过评估、迁移或现代化，制定策略、导航并加速数字化转型的理想路径。
作为 AWS 数据工程师，你是一名全栈数据工程师，热衷于解决业务问题。你与业务负责人、分析师和数据科学家合作，理解业务领域，并与同事工程师协作，构建能够推动更好决策的数据产品。你对业务指标的数据质量以及解决方案的灵活性充满热情，这些解决方案可以扩展以应对更广泛的业务问题。
如果你喜欢用技能解决问题，那就加入 Mactores 团队吧。我们拥有轻松有趣的工作环境，积极避免僵化的“企业文化”，注重生产力和创造力，让你成为世界级团队的一员，同时保持真实的自我。
你将负责：
- 使用 PySpark、Amazon Glue 编写高效代码
- 使用 Amazon Athena、Amazon Redshift 编写 SQL 查询
- 探索新技术，学习新方法，创造性地解决业务问题
- 与多个团队（工程和业务）协作，打造更好的数据产品和服务
- 与团队协作交付项目，并按时向客户汇报更新
我们寻找：
- 1 至 3 年 Apache Spark、PySpark、Amazon Glue 经验
- 2 年以上使用 pySpark 和 SparkSQL 编写 ETL 作业的经验
- 2 年以上编写 SQL 查询和存储过程的经验
- 深入理解所有 Dataframe API 及 Spark 2.7+ 支持的所有转换函数
如果你具备以下条件，将更受青睐：
- 具有在 AWS EMR、Apache Airflow 上工作的经验
- 持有 AWS 认证大数据 – 专业认证 或 Cloudera 认证大数据工程师 或 Hortonworks 认证大数据工程师
- 理解 DataOps 工程
Mactores 的生活
我们致力于创造一种真正改善每位 Mactorian 生活的文化。我们的 10 条核心领导力原则，尊重决策、领导力、协作和好奇心，指导我们的工作方式。
1. 走在前面一步
2. 提供最佳成果
3. 敢于大胆尝试
4.
查看英文原文
Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions.
If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Write efficient code in - PySpark, Amazon Glue
- Write SQL Queries in - Amazon Athena, Amazon Redshift
- Explore new technologies and learn new techniques to solve business problems creatively
- Collaborate with many teams - engineering and business, to build better data products and services
- Deliver the projects along with the team collaboratively and manage updates to customers on time
What are we looking for?
- 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
- 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
- 2+ years of experience in SQL queries and stored procedures
- Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+
You will be preferred if you have
- Prior experience in working on AWS EMR, Apache Airflow
- Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
- Understanding of DataOps Engineering
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
Originally posted on Himalayas