Associate Data Engineer

3 days ago

Karachi, Sindh, Pakistan Squarera Full time 60,000 - 125,000 per year

We are looking for a motivated and detail-oriented Associate Data Engineer to join our growing team. The ideal candidate should have 1 to 2 years of experience in data engineering or related fields and a passion for building data-driven solutions.

You will work closely with senior team members to design, develop, and maintain scalable data pipelines, ETL processes, and data integration solutions. This role offers excellent opportunities for growth, learning, and contributing to impactful projects.

Key Responsibilities:

  • Develop, maintain, and optimize data pipelines and ETL workflows.
  • Assist in designing and implementing scalable data architectures.
  • Collaborate with data analysts, data scientists, and other stakeholders to ensure data accuracy and availability.
  • Monitor and troubleshoot data pipelines to ensure high performance and reliability.
  • Document processes, workflows, and data models.

Requirements:

  • 1 to 2 years of relevant experience in data engineering or related roles.
  • Strong knowledge of SQL and experience with relational databases.
  • Familiarity with ETL tools, data warehousing concepts, and cloud platforms (e.g., Google Cloud Platform, Amazon Web Services, or Microsoft Azure).
  • Proficiency in at least one programming language (e.g., Python, Java, or Scala).
  • Good problem-solving skills and attention to detail.
  • Ability to work independently as well as in a collaborative environment.

What We Offer:

  • Competitive market salary (up to PKR 125,000, depending on the candidate's experience and skillset)
  • Employment commitment of 24 months
  • Opportunities for international relocation or travel
  • Medical coverage
  • Yearly performance-based bonus
  • Performance-based salary increments
  • Professional development and training programs
  • Collaborative and innovative work environment
  • Preference will be given to immediate joiners

Job Type: Full-time

Work Location: In person

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