数据工程师助理
Associate Data Engineer
关于TaskUs：TaskUs是一家为快速增长的科技公司提供外包数字服务和下一代客户体验的服务提供商，帮助其客户代表、保护并提升品牌价值。借助基于云的基础设施，TaskUs为包括社交媒体、电子商务、游戏、流媒体媒体、食品配送、拼车、HiTech、FinTech和HealthTech等增长最快的领域客户提供服务。
TaskUs的“以人为本”的文化使公司能够将员工人数扩展到全球约60,000人。目前，我们在十二个国家的二十三个地点设有办公场所，包括菲律宾、印度和美国。
最初，我们有一个疯狂的好主意，就是打造一种不同类型的业务流程外包（BPO）！在TaskUs，我们深知，实现合作伙伴的增长需要一种不断进取的文化，探索新技术，随时准备应对任何挑战，并在不断变化的世界中掌握一致性。
我们提供的福利：在TaskUs，我们通过提供具有行业竞争力的薪资和全面的福利包来优先考虑员工的福祉。我们对“以人为本”文化的承诺体现在我们设立的各个部门中，包括总薪酬、健康、人力资源和多元化。我们自豪于营造包容的环境，并对社区产生积极影响。此外，我们积极鼓励员工在职业发展的各个阶段内部流动和专业成长。今天就加入我们的团队，亲身体验我们对“以人为本”理念的承诺。
职位描述
在TaskUs担任初级数据工程师角色，你将期待什么：
那么，初级数据工程师具体做什么呢？想象一下，你负责设计、开发和维护用于分析基础设施的数据管道和数据仓库，所以并不是任何人都适合这个角色！我们确保找到最优秀的人才，毕竟，我们是一家非常优秀的公司，所以我们确保员工都是顶尖的。来吧，现在我们需要你全神贯注，因为是时候想象一下成为初级数据工程师是什么感觉了。
想象一下，你每天上班时只有一个念头：你将协助为TaskUs的商业智能报告方法提供准确且有意义的数据。当你开始处理当天的新任务时，你知道它……
查看英文原文
About TaskUs:TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
The People First culture at TaskUs has enabled the company to expand its workforce to approximately 60,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.
What We Offer:At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
Job Description
What can you expect in an Associate Data Engineer role with TaskUs:
So what does an Associate Data Engineer do? Think of yourself as someone responsible for designing, developing, and maintaining data pipelines, and data warehouses for use by the analytics infrastructure, so not just anyone is qualified for this role! We make sure we get the best of the best, after all, we are a ridiculously good company so we make sure our employees are top-notch. So come on, now we need your full concentration because it’s time to imagine what it’s like being an Associate Data Engineer.
Imagine yourself going to work with one thing on your mind: you will assist in making accurate and meaningful data available for consumption of TaskUs Business Intelligence reporting methodology. As you tackle your new tasks for the day, you know that it will lead to one thing: that everything you do is to meet an enterprise’s data delivery, business analysis, and reporting needs.
Key Responsibilities:
As an Associate Data Engineer, you will:
- Configure
- Configures and sets up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.
- Management of data integration & ETL jobs – consolidation, aggregation, filtering, validation, data quality routines, dimension creation, etc.
- Configure and Deploy automation of jobs based on pre-approved and reusable patterns framework. Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates.
- Design, develop and verify the data model according to the business requirements, and continuously optimize the model.
- Collaborate with technical users to define data requirements & establish business rules to be applied
- Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets
- Test
- Validate and verify the data model according to the business requirements, and continuously optimize the model.
- Performs unit and system integration testing, on development projects.
- Undertaking peer reviews, assisting with testing, and ensuring documentation is current.
- Monitor
- Monitor Error Handling and Logging tools and processes. Troubleshoot configuration and data errors.
- Monitor Performance and raise appropriate flags.
- Identify opportunities to optimize the ETL environment, and implement monitoring, quality, and validation processes to ensure data accuracy and integrity.
Qualifications:
- At least 2 years of experience in Data Engineering.
- Knowledgeable with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
- Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling.
- At least 2 years of hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow.
- Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift.
- 3-year development using Cloud-based analytics solutions preferable AWS or GCP.
- Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
- Knowledgeable in Database Tuning and ETL tuning.
- Experience of using Python in a cloud-based environment is preferred.
- Knowledge on NoSQL DBs is preferred.
- Knowledge, experience and exposure to AI tools is preferred but not required.
- Someone who has the ability to work effectively across internal functional areas in ambiguous situations.
- Someone who is a structured thinker and effective communicator.
Education / Certifications:
- Bachelor's/College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or 4-8 years experience in place of a degree.
Work Location / Work Schedule / Travel:
- Site Location: Any TaskUs IND Site (Remote)
- Work Setup: Work from Home
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
DEI:In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
We invite you to explore all TaskUs career opportunities and apply through the provided URL.
Originally posted on Himalayas