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.
Fresher - Big Data Engineer
Team: Engineering
Location: Remote
Relevant Exp: 0-2 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 (<2 years)
Competitive compensation
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? https://spark.apache.org/docs/latest/api/python/getting_started/index.html (we shall guide but won't spoon-feed)
Confidence to learn Kafka3 within a month? https://kafka.apache.org/documentation (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
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We are looking for developer with real passion for data ingestion, data transformation and data management. This is a specialist and individual contributor role. Product development experience preferably at a startup or a lean team is 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
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
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 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
- Proficient in Python 3 (NumPy)
- Proficient in Python 3 (Pandas)
- Developed data engineering pipelines on real-world problems (not just academic projects)
- Implemented advanced SQL queries
- Developed complex logic in Python 3
- Willingness and ability to learn PySpark or Kafka within a month
- Relevant experience in data engineering via courses, competitions, internships, or jobs (0-2 years)
- Immediate availability to join
- Build data acquisition pipelines ingesting from databases, flat files, software, and APIs
- Build data munging pipelines to transform data format, shape, and value
- Convert and refactor Python code into functional programming style
- Implement data structures, linear algebra, and algorithms at scale on parallel/distributed clusters
- Recognize parallelizable code and apply best practices to avoid runtime and performance bottlenecks
- Functional programming in Python (map-reduce, lambda paradigms)
- Knowledge of first-class/higher-order/pure functions, recursion, lazy evaluation, immutable data structures
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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