TechWish

Data Scientist - III

Job description

DATA ENGINEER II

This is not a Data analyst or Bi Developer role -- candidates MUST have Data Engineer experience.

At least 3 years of Data Engineer experience required preferably in a cloud Environment. You should have at least 4 years of coding experience in python/java/ Scala and open source packages with at least 2 years of experience with Databases(SQL/NOSQL etc).Experience with large scale Distributed databases like redshift/Snowflake is a big Plus.

You should have Experience with different aspects of data systems including database design, data modeling, performance optimization, SQL etc. Some Experience with building data pipelines and Orchestration(Airflow ,ADF,glue etc) is required.

Strong communication skills (able to explain concepts to non-technical audiences as well as peers) Self-starter who is highly organized, communicative, quick learner, and team-oriented

Intake Information

No approved expenses.

Our team is part of Emerging Business and its called TMS( marketing services)

TMO to provide laptop.

Priority will be given to candidates local to the Seattle/Oregan/Bellevue area since the team is based there. However, they will consider strong remote candidates.

Possibility for further extension - though the manager would like to convert these hires if a good fit.

Technology Requirements (I.E Programs, systems, etc) Python/Java or Scala , SQL and Airflow. Cloud experience AWS/Azure

What does a typical day look like? (daily tasks) A typical day involves three important things
  • Developing,executing,monitoring and troubleshooting Data pirpelines and workflows in our cloud environment.
  • Work on Data Lake/DW/DQ and other framework related items
  • Team and cross functional collaboration as needed.
Preferred background/prior work experience? 3 years of DE expertise building data pipelines and working in a DW/Data lake Cloud based environment

Priority soft skills Strong communication and problem solving skills, Self starter and highly organized. Ability to learn and adapt

SCREENING QUESTIONS: The manager would like to see the following questions on candidate resumes.

Have they built Data pipelines from using python/node.js or any scripting language

Do they have experience working with orchestration tools like airflow etc

The interview will consist of a coding (algorithmic) exercise - candidates must be able to write code and able to go forward with that requirement.

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