Data Engineer

Industry: Marketing

Remote

Company size: 51-250

Full-time

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Job description

A US-based company empowering brands and content creators to harness the data-science behind authentic storytelling is looking for a Data Engineer. The selected candidate will collaborate cross-functionally with the engineering, data science, product, management, and other teams. The company's AI engine assists creators in identifying relevant content partners and building brand relevance and reputation at scale through a compelling narrative. They have raised more than $3.5mn in funding so far.

Job Responsibilities:

Help to develop distributed data processing system using AWS
Analyze performance and upgrade existing solutions to manage the increased load
Build and scale architecture, and select the optimal technologies and methodologies
Contribute to end data deployment processes from inception to consumption
Work closely with data science engineers to provide data for ML components
Develop best practices for data integration and streaming processes
Help in shipping clean, maintainable, easy to support codes by following the engineering best practices like testing, documenting, rapid prototyping, providing modular and structured solutions
Adopt an agile thinking approach and adopt changes fast
Work with an attention to detail and passion to fully understand the pros and cons of different technologies
Work as a good team player, clearly state your point of view and listen to others carefully
Work with data and assist in data-driven decision-making processes
Adopt a simplistic approach with enough knowledge to judge future requirements
Take ownership of incidents that fall within your domain and help resolve errors or provide assistance to others for the same

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
At least 4+ years of relevant experience as a Data / Back-End Engineer
Thorough understanding of data structures and algorithms
Must have a strong grasp over SQL and NoSQL databases, design, and data retrieval methods
Expertise in working with languages like Java and Scala is required
Should possess a thorough understanding of Big Data technologies and solutions like Hadoop, Spark, etc
Ability to work with streaming services like Apache Kafka or Kinesis
Proven experience in working with cloud services (AWS preferred)
Knowledge of working infrastructure as a code using Terraform is preferred
Familiarity with containerization technologies like Docker and Kubernetes will be helpful
Knowledge of Workflow engines like Apache Airflow or similar solutions is preferred
Ability to work with languages like Python will be a bonus

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Frequently Asked Questions

What is Turing?

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.

How many rounds do I need to clear before selection?

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.

How is Turing different from other remote based job providers?

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Do developers need to pay any fees for Turing's services?

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What kind of developers does Turing hire?

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.

What level English is necessary to get a job?

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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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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