Data Engineer - Python
This is a remote position. Please go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word _i_a_g_e_t_, a cold sauce, mentioned somewhere in the job post below. You shall be required to enter this french word in following application form. Applications with incorrect response shall not be processed. Alongwith, post pressing Apply, you shall reach assessment page where you would need to spend three minutes to answer few technical questions. Applications with skipped or failed assessment shall not be processed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions. Data Engineer - Python Team: Engineering Location: Remote Relevant Exp: 0-3 Years Background: Been there-Done that Compensation: Above industry standards Requirements This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere) Immediate joiners must apply Data Engineering Development Experienced - course/competitions/internships/job (<4 years) Competitive compensation ************ 必须有。高级 Numpy 编码 2.高级 Panda 编码 3.写高级数据库查询 4.复杂的数据转换5. 复杂的数据管道6. 没有必要申请,如果你不满足以上提到的"必须要"中的任何一个。数据平台的数据工程开发工作最具挑战性和令人兴奋的工作之一。你将在复杂的平台,产品和应用程序上工作。我们正在寻找一个真正热情开发者。对于数据管道,这是一个专家和个人的贡献者角色。我们正在寻找真正热爱 python 的工程师,他们有实际实践经验在 python 上开发数据应用。你将被要求与我们的数据科学团队合作开发多个数据应用程序。强制 1.从数据来源 (数据库,API,平板文件等)获取数据2.创建 Pandas 数据。
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This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word _i_a_g_e_t_, a cold sauce, mentioned somewhere in the job post below. You shall be required to enter this french word in following application form. Applications with incorrect response shall not be processed.
Alongwith, post pressing Apply, you shall reach assessment page where you would need to spend three minutes to answer few technical questions. Applications with skipped or failed assessment shall not be processed.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
Data Engineer - Python
Team: Engineering
Location: Remote
Relevant Exp: 0-3 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere)
Immediate joiners must apply
Data Engineering Development Experienced - course/competitions/internships/job (<4 years)
Competitive compensation
************
| MUST HAVE |
************1. Code in advanced Numpy
2. Code in advanced Pandas
3. Write advanced database queries4. Code complex Data Transformations5. Code complex Data Pipelines6. Command over nested JSONsTHERE IS NO NEED TO APPLY IF YOU DO NOT MEET EACH OF THE "MUST HAVES" MENTIONED ABOVE
===========================================We are offering one of the most challenging & exciting work on Data Engineering Development for Data Platforms. You shall be working on sophisticated platforms, products and applications
===========================================
We are looking for developer with real passion for data pipelines. This is a specialist and individual contributorrole. Product development experience preferably at a startup or a lean team is desired
ROLE
We are looking for engineers with real passion for python with actual hands-on experience developing data application on Python. You would be required to work with our data science team on development of several data applications.
Mandatory
1. Fetching data from data sources (databases, APIs, flat files, etc.)2. Creating Pandas dataframes and/or Numpy arrays3. Writing complex data analysis and data manipulation logics in Python 3
4. Working deeply on SQL, slice & dice and transformations on dataframes and/or arrays
Preferred1.Functional programming in Python onvinaigrettemap-reduce lambda paradigm
2. Worked on development of data platform
How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write For more information, visit
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Benefits
Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.
We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We look for talent, not skills1. You must be [super sharp]2. You must be [extremely energetic]3. You must be [honourably honest]In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you:[Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace
Originally posted on Himalayas