Data Engineer

1 day ago

Karachi, Sindh, Pakistan mod Full time $40,000 - $80,000 per year

About the Role

We are looking for a highly skilled Data Engineer with strong expertise in dbt, SQL, Python, and APIs to join our growing data team. The ideal candidate will play a key role in designing, building, and optimizing our data pipelines, ensuring data quality and availability for analytics and reporting.

This role requires not only strong technical skills but also the ability to collaborate with business stakeholders, translate requirements into technical solutions, and deliver high-quality, reliable data products that drive decision-making across the organization.

Key Responsibilities

Data Pipeline Development & Maintenance

  • Design, build, and optimize scalable ETL/ELT pipelines using dbt, SQL, and Python.
  • Integrate data from multiple sources, including APIs, SaaS platforms, and databases.
  • Ensure pipelines are efficient, reliable, and well-documented.
  • Experience with cloud platforms (GCP is a must).

Data Modeling & Transformation

  • Develop and maintain robust data models (star/snowflake schemas, dimensional modeling, etc.).
  • Implement transformations in dbt following best practices (modularity, testing, documentation).
  • Ensure high-quality, trusted, and reusable data assets for downstream analytics.

Data Infrastructure & Quality

  • Partner with the analytics team to define data standards, governance, and validation rules.
  • Monitor and troubleshoot data pipelines, ensuring performance and accuracy.
  • Contribute to CI/CD processes for data workflows.

Analytics & Dashboarding

  • Collaborate with BI teams to ensure data models power dashboards and reports effectively.
  • Support the creation of KPIs and metrics for various stakeholders.
  • Build lightweight dashboards where needed to validate and present data.

Stakeholder Engagement

  • Work closely with product, engineering, and business stakeholders to gather requirements.
  • Translate business needs into data solutions and communicate trade-offs clearly.
  • Act as a data subject matter expert, providing guidance on best practices.

Required Qualifications

Technical Expertise

  • 3+ years of professional experience as a Data Engineer or in a similar role.
  • Advanced proficiency in SQL (performance tuning, query optimization, complex joins).
  • Strong Python skills for data processing and automation.
  • Proven experience with dbt for data transformation and modeling.
  • Experience working with REST & GraphQL APIs (data ingestion, integration).
  • Strong understanding of data warehousing concepts

Data Modeling & BI

  • Experience building scalable dimensional and normalized data models.
  • Familiarity with dashboarding/BI tools (Looker Studio is a must).

Soft Skills

  • Excellent communication and stakeholder management skills.
  • Ability to work in a fast-paced environment with changing priorities.
  • Strong problem-solving skills and attention to detail.

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