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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

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 Experienced - course/competitions/internships/job (<4 years)

Competitive compensation

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| MUST HAVE |

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1. Code in Python3 - Numpy?

2.Code in Python3 - Pandas?

3.Code in PySpark3 - Core?
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? https://spark.apache.org/docs/latest/api/python/reference/pyspark.ml.html (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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We are looking for developer with real passion for data science pipelines. This is a specialist and individual contributor role. Product development experience preferably at a startup or a lean team is desired

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

1. Must be able to fetching data from data sources (databases, APIs, flat files, etc.)

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

4. Must have worked on atleast one real world project in production on PySpark

5. Must have implemented complex mathematical logics through PySpark at scale on parallel/distributed clusters

6. 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

7. Must have worked on high degree of performance tuning, optimization, configuration, & scheduling in PySpark

8. Must have integrated APIs, streams, databases, files (JSON, XML, CSV etc) through PySpark

How to Apply

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 offer you: [Greatest work of life]