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Open nowFirst seen 15 hours ago

Senior Data Engineer

Devop.One131 open roles

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Your applicationOpen nowSenior Data EngineerDevop.One

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Devop.One's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: first seen 15 hours ago

The posting

All Skills

Skills:

  • At least 3 years of experience in software engineering
  • At least 1 years of experience in data engineering or the broader data science domain
  • Ability to write elegant and readable SQL
  • Knowledge of intermediate SQL features such as window functions
  • Experience with the Google Cloud data stack (esp. DataProc & BigQuery)
  • Experience PostgreSQL
  • Experience with Apache Spark, either Scala or PySpark
  • Hands on experience with Apache Airflow, ideally already has first experience with version 2.0 (or eagerness to learn)
  • Skilled in writing Pythonic code
  • Ability to discover data quality issues and perform descriptive analysis on Big Data
  • Entrepreneurial spirit and know-how to identify opportunities of improvement
  • Working proficiency and communication skills in verbal and written English
  • Passion for playing with large volume of data
  • Docker, Git, Bash

Bonus:

  • Neo4J or other graph databases
  • Founded a company, familiar with the process and paperwork

Python/SQL Only

Skills:

  • At least 3 years of experience in software engineering
  • At least 1 years of experience in data engineering or the broader data science domain
  • Ability to write elegant and readable SQL
  • Knowledge of intermediate SQL features such as window functions
  • Experience PostgreSQL
  • Hands on experience with Apache Airflow, ideally already has first experience with version 2.0 (or eagerness to learn)
  • Skilled in writing Pythonic code
  • Entrepreneurial spirit and know-how to identify opportunities of improvement
  • Working proficiency and communication skills in verbal and written English
  • Passion for playing with large volume of data

Bonus:

  • Neo4J or other graph databases
  • Founded a company, familiar with the process and paperwork
  • Experience with the Google Cloud data stack (esp. DataProc & BigQuery)

Spark Only

Skills:

  • At least 3 years of experience in data engineering
  • Experience with the Google Cloud data stack (esp. DataProc)
  • Experience with Apache Spark, either Scala or PySpark
  • Ability to discover data quality issues and perform descriptive analysis on Big Data
  • Entrepreneurial spirit and know-how to identify opportunities of improvement
  • Working proficiency and communication skills in verbal and written English
  • Passion for playing with large volume of data

Bonus:

  • Neo4J or other graph databases
  • Founded a company, familiar with the process and paperwork
  • Experience with the Google Cloud data stack (esp. DataProc & BigQuery)
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Devop.One's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Devop.One's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Devop.One's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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