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Open nowPosted 15 hours ago

Principal Data Engineer - II

Pakistan Single Window

Where
Karachi, Sindh, Pakistan
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Your applicationOpen nowPrincipal Data Engineer - IIPakistan Single Window · Karachi, Sindh, Pakistan

  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 Pakistan Single Window'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.

12.3% 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. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 15 hours ago

The posting

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and integrate data from various sources.
  • Implement real-time data streaming and batch processing solutions to support diverse business needs.
  • Build and optimize data storage solutions, including data lakes, data warehouses, and databases.
  • Ensure data systems and pipelines are scalable, secure, and performant.
  • Clean, transform, and prepare raw data into usable formats for analytics and machine learning.
  • Collaborate with Data Scientists and Analysts to define data requirements and deliver solutions.
  • Monitor the performance and reliability of data pipelines and systems, implementing improvements where necessary.
  • Troubleshoot and resolve data-related issues, ensuring minimal downtime.
  • Implement and enforce data quality checks, validation processes, and monitoring mechanisms.
  • Collaborate with Data Governance teams to ensure data complies with organizational standards and policies.
  • Work closely with cross-functional teams, including Data Architects, Analysts, and Business
  • Teams, to understand requirements and deliver data solutions.
  • Provide technical expertise and guidance on data engineering best practices.
  • Stay updated on emerging tools, technologies, and industry trends.
  • Evaluate and recommend technologies to enhance data engineering capabilities

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

7 to 8 years of experience as a Data Engineer or in a similar role, with expertise in building and maintaining data pipelines and infrastructure.

Hands-on experience with big data tools, cloud platforms, and data integration techniques.

Expertise in SQL and working with relational and NoSQL databases.

Experience with data orchestration tools (e.g., ODI, SSIS, Apache Airflow, dbt, Prefect).

Proficiency in programming languages like Python, Java, or Scala.

Familiarity with data processing frameworks (e.g., Apache Spark, Kafka).

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Ability to work in a fast-paced, team-oriented environment.

Benefits

  • Competitive salary
  • Fuel Card
  • Health benefits
  • Professional development opportunities
  • Inclusive work culture & much more
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 Pakistan Single Window'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 Pakistan Single Window'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

    Pakistan Single Window'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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