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Day 154
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Fresher - Big Data Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
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.
Team: Engineering Location: Remote Relevant Exp: 0-2 Years
Read the full posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting
Before you apply
- New graduates
- Open to new graduates
Fresher - Big Data Engineer
What you’ll work on
Full postingBuild data acquisition pipelines that ingest from databases, flat files, software and APIs
Build data munging pipelines that transform data format, shape and value
Convert and break existing Python code into functional programming syntax
Run data structures, linear algebra and algorithms at scale on parallel or distributed clusters
From the employer’s posting
Building data acquisition pipelines ingesting data from various source systems (databases, flat files, software, APIs)
Building data munging pipelines transforming data format, shape and value
Must be able to convert, break, & distribute existing Python codes to functional programming syntax
Must be able to execute data structures, linear algebra and algorithms implementation at scale on parallel/distributed clusters
What you’ll bring
All qualificationsCore experience
- Python3 coding with NumPy and Pandas
- Built data engineering pipelines on real-world problems, not only academic projects
- Advanced SQL queries
- Developed complex logic in Python3
- Ability to learn PySpark or Kafka within a month
Qualification wording
Code in Python3 - Numpy?
Developed data engineering pipelines on real-world problem (not just academic projects)?
Implemented advanced SQL queries
Developed complex logics in Python3
Confidence to learn PySpark3 within a month?
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026154 days ago
- Recorded sightings
- 101
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Busigence is hiring
3 open jobs
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- NumPy
- Kafka
Where the posting names them
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) OR
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
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
3.Developed data engineering pipelines on real-world problem (not just academic projects)? 4.Implemented advanced SQL queries 5.Developed complex logics in Python3
************ 1. Code in Python3 - Numpy? 2.Code in Python3 - Pandas?
OR Confidence to learn Kafka3 within a month? https://kafka.apache.org/documentation (we shall guide but won't spoon-feed) ===========================================
Your next step
Complete your application on busigence.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 Engineer
Team: 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 responsive
Remote 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? https://spark.apache.org/docs/latest/api/python/getting_started/index.html (we shall guide but won't spoon-feed)
OR
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
===========================================
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
How to Apply
You should apply online by clicking "Apply Now".
For more information, visit http://www.busigence.com
Products: http://busigence.com/offering
Careers: http://careers.busigence.com
Research: http://research.busigence.com
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 intent & 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….
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
Source details
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- Pay
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- Location & working pattern
Location not supplied.
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.
More source context
Team: Engineering Location: Remote Relevant Exp: 0-2 Years
More relevant text appears in the full description.
- Work authorization
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