Data Engineer - Python

Posted Yesterday
Hiring Remotely in USA
Remote
Junior
Artificial Intelligence • Big Data • Analytics • Business Intelligence
The Role
Develop and maintain Python-based data applications and pipelines: fetch data from databases/APIs/files, build Pandas DataFrames/NumPy arrays, write complex SQL and data transformations, handle nested JSON, and collaborate with data science teams to deliver production data platforms.
Summary Generated by Built In

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 responsive

Remote 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 queries
4. Code complex Data Transformations
5. Code complex Data Pipelines
6. Command over nested JSONs

THERE 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 contributor role. 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 arrays
3. 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

Preferred

1. Functional programming in Python on vinaigrette map-reduce lambda paradigm
2. Worked on development of data platform

How to Apply

You should apply online by clicking "Apply Now". 

For queries regarding an open position, please write to [email protected]

For more information, visit http://www.busigence.com
Products: http://busigence.com/offering

Careers: http://careers.busigence.com

Research: http://research.busigence.com

Jobs: http://careers.busigence.com


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 http://busigence.com/offering

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 skills
1. 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


Skills Required

  • Advanced NumPy coding
  • Advanced Pandas coding
  • Write advanced database queries / strong SQL
  • Code complex data transformations
  • Develop complex data pipelines
  • Command over nested JSON
  • Experience coding complex data analysis and manipulation in Python 3
  • Fetching data from sources (databases, APIs, flat files)
  • Create Pandas DataFrames and/or NumPy arrays
  • Relevant experience 0-3 years
  • Immediate joiner
  • Remote (work-from-anywhere)
  • Functional programming in Python (map-reduce / lambda) — preferred
  • Experience developing data platforms — preferred
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The Company
0 Employees
Year Founded: 2012

What We Do

Busigence is a Decision Intelligence company that creates decision intelligence products for real people by combining data, technology, business, and behavior to enable strengthened decisions. Founded by IIT alumni, the company focuses on highly disruptive big data technologies, utilizing artificial intelligence and machine learning to deliver actionable business and relationship intelligence solutions.

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