PySpark Developer
Remote · United States
Source: Himalayas. This job was published on Himalayas; you apply there.
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Estimated pay
Estimate$138K–$245K/yr
Estimate — the employer hasn't published pay.
Based on 909 similar mid-level Software Engineering jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Education
- Master's
- Benefits mentioned
- Flexible hours
Skills mentioned
About the role
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.
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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
PySpark Developer
Team: Engineering
Location: Remote
Relevant Exp: 0-4 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
Remote position (work-from-anywhere)
Immediate joiners must apply
Data Engineering Experienced - course/competitions/internships/job (<4 years)
Competitive compensation
1. Code in Python3 - Numpy?
2.Code in Python3 - Pandas?
4. Code in PySpark3 - SQL?
5.Developed data engineering pipelines on real-world problem (not just toy projects)?
6.Implemented advanced SQL queries
7.Developed complex logics in PySpark3
8.Confidence to learn PySpark3 -MLlib within two weeks?(we shall guide but won't spoon-feed)
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We are offering one of the most challenging & exciting work on Data Pipelines and Machine Learning Pipelines. You shall be working on sophisticated platforms, products and applications
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ROLE
We are looking for engineers with real passion for distributed computing with actual hands-on experience developing data application on PySpark. You would be required to work with our data science team on development of several data applications.
Mandatory
2. A firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (1M+ records)
5. Worked on development of data platform
Benefits
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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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
For more information, visit
Products:
Careers:
Research:
Jobs:
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