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Open nowFirst seen 3 days ago

Permanent WFH AWS Senior Data Engineer

Jobskey Consultancy662 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowPermanent WFH AWS Senior Data EngineerJobskey Consultancy · Remote

  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 Jobskey Consultancy'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Job Role & Responsibilities:

  • Design, implement, and improve the analytics platform
  • Implement and simplify self-service data query and analysis capabilities of the BI platform
  • Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility
  • Deploy and use various big data technologies and run pilots to design low latency data architectures at scale
  • Collaborate with business analysts, data scientists, product managers, software development engineers, and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms.

Candidate Profile:

  • 7+ years relevant experience
  • Expert level skills writing and optimizing complex SQL
  • Knowledge of data warehousing concepts
  • Experience in data mining, profiling, and analysis
  • Experience with complex data modelling, ETL design, and using large databases in a business environment
  • Proficiency with Linux command line and systems administration
  • Experience with languages like Python/Java/Scala
  • Experience with Big Data technologies such as Hive/Spark Proven ability to develop unconventional solutions, sees opportunities to innovate and leads the way
  • Good experience of working in cloud platforms like AWS, GCP & Azure.
  • Having worked on projects involving creation of data lake or data warehouse
  • Excellent verbal and written communication.
  • Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms.
  • Ability to effectively communicate with multiple teams
  • Good to have AWS/GCP/Azure Data Engineer Certification
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  1. A CV for this posting

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  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 Jobskey Consultancy'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

    Jobskey Consultancy'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

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  6. The interview in your calendar

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    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.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • 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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