出海雷达

Fresher - Big Data Engineer

开发工程限定地区(需当地身份)
公司Busigence Technologies
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

This is a remote position. Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions. Fresher - Big Data EngineerTeam: Engineering Location: Remote Relevant Exp: 0-2 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 Experienced - course/competitions/internships/job (<2 years) Competitive compensation ************ | MUST HAVE | ************1. Code in Python3 - Numpy? 2.Code in Python3 - Pandas? 3.Developed data engineering pipelines on real-world problem (not just academic projects)? 4.Implemented advanced SQL queries 5.Developed complex logics in Python3 6.Confidence to learn PySpark3 within a month?(we shall guide but won't spoon-feed) ORConfidence to learn Kafka3 within a month? 我们提供了数据管道上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。数据摄入,数据转化和数据管理。产品开发经验最好是创业或精益团队所需的角色。建立采集数据的管道,从各种源系统 (数据库,平板文件,软件,API)中吸收数据。构建数据管,改变数据格式,形状和值 3.必须能够将现有的 Python 代码转换,破解并分配到功能编程语法 4.必须能够在平行/分布式集群中执行规模的数据结构,线性代数和算法的实施 5.必须能够识别更平行的代码,并且存储量较少,并且必须展示如何应用最佳实践以避免运行时间发出。

查看英文原文

This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.

Fresher - Big Data EngineerTeam: Engineering

Location: Remote

Relevant Exp: 0-2 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 Experienced - course/competitions/internships/job (<2 years)

Competitive compensation

************
| MUST HAVE |
************1. Code in Python3 - Numpy?

2.Code in Python3 - Pandas?

3.Developed data engineering pipelines on real-world problem (not just academic projects)?

4.Implemented advanced SQL queries

5.Developed complex logics in Python3

6.Confidence to learn PySpark3 within a month?(we shall guide but won't spoon-feed)

ORConfidence to learn Kafka3 within a month? (we shall guide but won't spoon-feed)

===========================================We are offering one of the most challenging & exciting work on Data Pipelines. You shall be working on sophisticated platforms, products and applications

===========================================

We are looking for developer with real passion for data ingestion, data transformation and data management. This is aspecialistandindividual contributorrole.Product developmentexperience preferably ata startup or a lean teamis desired

ROLE

Mandatory

1. Building data acquisition pipelines ingesting data from various source systems (databases, flat files, software, APIs)

2. Building data munging pipelines transforming data format, shape and value

3. Must be able to convert, break, & distribute existing Python codes to functional programming syntax

4. Must be able to execute data structures, linear algebra and algorithms implementation at scale on parallel/distributed clusters

5. Must be able to recognize code that is more parallel, and less memory constrained, and you must show how to apply best practices to avoid runtime issues and performance bottlenecks

Preferred

1. Functional programming in Python on vinaigrette map-reduce lambda paradigm

2. Knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures

Benefits

How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write For more information, visit
Products:

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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 intent & 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

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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