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Remote Big Data engineer jobs

At Turing, we are looking for Big Data engineers who will work with our U.S based clients. The engineer will be responsible for providing accurate insights that will make business decisions easier for our customers. Get a chance to collaborate with highly skilled professionals and rise quickly through the ranks.

Apply as Big Data engineer

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Job description

Job responsibilities

  • Select and integrate required Big Data tools and frameworks to deliver needed aptitudes
  • Assemble, process, and analyze raw data at scale to support different project requirements
  • Monitor data performance and revise infrastructure where required
  • Select and integrate required Big Data tools and frameworks to deliver needed aptitudes
  • Assemble, process, and analyze raw data at scale to support different project requirements
  • Monitor data performance and revise infrastructure where required
  • Maintain the production systems and define data retention methods
  • Work closely with internal development and research teams
  • Handle technical conversation between internal operations and survey vendors
  • Work closely with internal development and research team for web scraping, calling APIs, and writing SQL queries
  • Explore new ideas from industry best practices, data modifications, and experience to resolve data mining issues

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Computer Engineering, Data Science or equivalent
  • 3+ years of demonstrable experience as a data engineer (rare exceptions for super efficient devs)
  • Keen perception of distributed computing principles
  • Bachelor’s/Master’s degree in Computer Science, Computer Engineering, Data Science or equivalent
  • 3+ years of demonstrable experience as a data engineer (rare exceptions for super efficient devs)
  • Keen perception of distributed computing principles
  • In-depth knowledge of data mining, machine learning, and information retrieval
  • Expertise in Hadoop, Spark, and similar frameworks
  • Knowledge of Lambda architecture, its benefits, and shortcomings
  • Expertise in multiple scripting languages, including Java, C++, Linux, PHP, or Python
  • Familiarity with various ETL techniques and frameworks

Preferred skills

  • Willingness to solve complex data, software, and networking issues
  • Work experience in Cloudera, Hortonworks or MapR
  • Experience in data integration from various sources
  • Willingness to solve complex data, software, and networking issues
  • Work experience in Cloudera, Hortonworks or MapR
  • Experience in data integration from various sources
  • Familiarity with RDBMS and NoSQL databases
  • Experience in data lake handling
  • Outstanding troubleshooting and project management skills

Interested in this job?

Apply to Turing today.

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Frequently Asked Questions

To become a Big Data engineer, earn a bachelor’s degree in computer science, software or computer engineering, Applied Math, Physics, Statistics, or a related field. Consider pursuing Certified Data Management Professional or CDMP certification. Get familiar with tools and programming languages like Spark, Hadoop, SQL, Python, and more. There are plenty of jobs available for Data engineers in the market. You can check out some of them on Turing.com

Big Data is the future, without any doubt. The way a business or an organization leads to growth, data is the answer to the growth in analytical apps and artificial intelligence. It's also vital to producing the kind of insights leaders need to move their company forward. If you're looking for a remote job in Big Data, visit Turing.com, pass the test and work with Silicon Valley companies.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

Big Data engineers deal with the collection, storing, processing and examination of Big Data systems. They make the access of data easy for the company and are deemed to be the leader of data supply. If you are a Big Data engineer looking for better work opportunities, then visit Turing.com.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

Yes, Big Data is a fulfilling career. It not only exposes you to the latest technologies but also pays you well in the future. Professional opportunities within data engineering are vast. If you aspire to get a nice job as a Big Data engineer, visit Turing.com and check out the exciting remote jobs available.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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