Top 5385 Big data engineer Jobs

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Fresher - Big Data Engineer
Busigence Technologies —Remote
- Email
- Remote
- SQL
- Software development experience
- APIs
- Flexible schedule
Data Engineer
IT Heroes —Remote
- $45 - $55 an hour
- Full-time
- Remote
- 5 years
- Mid-level
- SQL
Quick Apply
Data Analytics Engineer I
dv01 —Remote
- $100,000 - $110,000 a year
- Remote
- Java
- Entry level
- Health insurance
- Dental insurance
Quick Apply
Data Engineer (L5) - Ads
Netflix —Remote
- $380,000 - $610,000 a year
- Remote
- Java
- Software development experience
- APIs
- Paid holidays
- Health insurance
Data Engineer
Feasto solutions LLC —Remote
- $120,123.83 - $144,665.25 a year
- Temporary
- Remote
- System design
- Java
- AWS
Quick Apply
11d
Associate Engineer, Data Science
Nagarro —Remote
- Entry level
Quick Apply
Big Data Engineer
AdvanSix —Remote
- $104,600 - $156,800 a year
- Full-time
- Remote
- System design
- SQL
- Senior level
- Health savings account
- Paid holidays
Quick Apply
Software Engineer
Flex —Remote
- $110,000 - $145,000 a year
- Full-time
- Remote
- English
- Research
- Mid-level
Quick Apply
Staff Engineer, Big Data
Nagarro —Remote
- Mid-level
Quick Apply
Data Engineer - Python
Busigence Technologies —Remote
- Email
- Remote
- SQL
- APIs
- Entry level
- Flexible schedule
Fresher - Data Science Engineer
Busigence Technologies —Remote
- Email
- Remote
- SQL
- Entry level
- Flexible schedule
Data Engineer
Punch Agency —San Francisco, CA
- From $150,000 a year
- Full-time
- Computer science
- Computer Science
- Office
Quick Apply
Big Data Engineer
Impetus Technologies —Phoenix, AZ
- Java
- Senior level
- Communication skills
Data Engineer (Remote / Contract)
Verve —New York, NY
- $30 - $50 an hour
- Contract
- Remote
- Mid-level
- SQL
- AWS
BIG DATA ENGINEER
PROTOCOL INFOTECH —St. Louis, MO
- Full-time
- Mid-level
- Bachelor's degree
- Referral program
Big Data Systems Engineer
KBR —Los Angeles, CA
- $142,400 - $200,000 a year
- Full-time
- Remote
- Computer Science
- Windows
- 3 years
- Work from home
Full Stack Engineer
HHAeXchange —Remote
- $80,000 - $120,000 a year
- Full-time
- Remote
- Mid-level
- Analysis skills
- Travel
- Paid holidays
- Health insurance
Quick Apply
Associate Web App Engineer
Hyperspace Ventures —Remote
- Full-time
- Computer science
- Computer Science
- Software troubleshooting
Data Engineer
Tredence Analytic —Chicago, IL
- 3 years
- Java
- Bachelor's degree
Quick Apply
Data Engineer
Inclusion Cloud —Dallas, TX
- Azure
- Mid-level
- Java

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Fresher - Big Data Engineer

Busigence Technologies -
Remote

Apply Now

Job Details

Benefits

Flexible schedule

Qualifications

Data Integration (Data management)
High-performance computing clusters
Data structures
NumPy
System performance optimization
Algorithms
SQL
Pandas
Linear algebra
Distributed systems
Software development experience
Distributed computing
Query management

Full Job Description

This is a remote position.

Please go through the entire job post thoroughly before pressing Apply.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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)

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

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

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….

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

Apply Now

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big data engineer jobs

Fresher - Big Data Engineer

Data Engineer

Data Analytics Engineer I

Data Engineer (L5) - Ads

Data Engineer

Associate Engineer, Data Science

Big Data Engineer

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Staff Engineer, Big Data

Data Engineer - Python

Fresher - Data Science Engineer

Data Engineer

Big Data Engineer

Data Engineer (Remote / Contract)

BIG DATA ENGINEER

Big Data Systems Engineer

Full Stack Engineer

Associate Web App Engineer

Data Engineer

Data Engineer

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How to Apply

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….