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Open nowPosted 216 days ago

Developer

gsbsolutions135 open roles

Where
Hyderabad, Andhra Pradesh, India
Work mode
On site
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Your applicationOpen nowDevelopergsbsolutions1 · Hyderabad, Andhra Pradesh, India

  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 gsbsolutions1'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.

7.8% of postings close within 7 days. Measured by our own scanner across the market. gsbsolutions1 postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 216 days ago

gsbsolutions1 median: 1 days open

The posting

Must-Have**

  • Strong proficiency in Python programming.
  • Hands-on experience with PySpark and Apache Spark.
  • Knowledge of Big Data technologies (Hadoop, Hive, Kafka, etc.).
  • Experience with SQL and relational/non-relational databases.
  • Familiarity with distributed computing and parallel processing.
  • Understanding data engineering best practices.
  • Experience with REST APIs, JSON/XML, and data serialization.
  • Exposure to cloud computing environments.
  • 5+ years of experience in Python and PySpark development.
  • Experience with data warehousing and data lakes.
  • Knowledge of machine learning libraries (e.g., MLlib) is a plus.
  • Strong problem-solving and debugging skills.
  • Excellent communication and collaboration abilities.
  • Develop and maintain scalable data pipelines using Python and PySpark.
  • Design and implement ETL (Extract, Transform, Load) processes.
  • Optimize and troubleshoot existing PySpark applications for performance.
  • Collaborate with cross-functional teams to understand data requirements.
  • Write clean, efficient, and well-documented code.
  • Conduct code reviews and participate in design discussions.
  • Ensure data integrity and quality across the data lifecycle.
  • Integrate with cloud platforms like AWS, Azure, or GCP.

Implement data storage solutions and manage large-scale datasets.

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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 gsbsolutions1's form

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

  4. Every reply, sorted

    gsbsolutions1's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  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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