Netflix Entry Level Jobs From Home @ Get Dream Job

Netflix; Phoenix (AZ); On-site; USD 27,552 - 41,328; Full time

Job summary

Netflix is seeking a Data Engineer in Phoenix to design and maintain scalable data pipelines supporting Netflix Games metrics and telemetry.

You will work with game studios and external partners to ingest critical data, build robust data models, and collaborate with analytics teams to drive insights that shape product decisions across the platform.

Qualifications

• Strong interest in building intuitive data products.
• Proficient in SQL and programming in Java, Python, or Scala.
• Experience designing data pipelines on large-scale data platforms (Hadoop, Hive).
• Familiar with AWS services (S3, EC2, RDS) and data modeling.

Responsibilities

• Engineer productive, scalable data pipelines for structured and unstructured data.
• Develop understanding of Netflix games data space and metrics.
• Collaborate with game studios to ingest metrics and data into Netflix data ecosystem.
• Partner with internal game studios to ingest key metrics and data.
• Work with Netflix SDK team and external partners to acquire data.
• Collaborate with analytics and data science teams across groups.

Skills

Java

Python

Scala

SQL

AWS

Data pipelines

Distributed systems

Education

Graduate

Tools

Hadoop

Hive

Job description

Position: Data Engineer
Salary: $20-30 per hour
Company: Netflix
Location: Phoenix, USA
Educational Requirement: Graduate

This present time is an astonishing opportunity to join Netflix as we look to engage the world. We have north of 200 million paid individuals in more than 190 nations, and we won't stop there. Games are our next large wilderness and an unbelievable chance for us to convey new encounters to charm and engage our rapidly developing enrollment. You will hop in at the earliest reference point of this experience and be in a situation to assist us with reclassifying how a Netflix membership affects our individuals all over the planet.

Information Science and Designing ('DSE') at Netflix is pointed toward utilizing information, research, and sciences to work on different parts of our business. We are searching for an Information Specialist to join our Games DSE group, supporting key pipelines to decide both individual games, and general game portfolio execution. This job will accompany intimately with our Game studio partners to comprehend the sorts of information that should be gathered. As an individual from this group, you may likewise work straightforwardly with our Game Improvement groups, as they work to gather telemetry from explicit games.

The ideal up-and-comer will have major areas of strength in disseminated information handling, have perfect and evident data instinct, and offer our enthusiasm for ceaselessly further developing Netflix Games.

Key Responsibilities

• Engineer productive, versatile, and adaptable data pipelines to deal with structured and unstructured information.
• Foster a deep understanding of the emerging games space at Netflix.
• Work with our game studio partners to advance high-level metrics for games (maintenance, etc.).
• Partner with Netflix's internal game studios (Night School, Next Games, Manager Battle, and Agile Fox) to ingest significant metrics and game data into the Netflix data ecosystem.
• Collaborate with the Netflix SDK team and external game partners (e.g. Gameloft) to acquire data using the Netflix Games SDK.
• Join a diverse group of data engineers with a range of skill levels, collaborating closely with analytics and data science teams.

Qualifications

• Energetic about building intuitive data products.
• Strong programming skills in Java, Python, or Scala with at least 2 years of experience in software development and data engineering.
• Proficient with advanced SQL.
• Experience designing data pipelines using large-scale data platforms (Hadoop, Hive, etc.) on medium to large data sets.
• Familiar with AWS cloud services (S3, EC2, RDS, etc.).
• Ability to translate requirements into scalable data models and pipelines.
• Passion for excellence, learning new technologies, and advancing your career.