Senior Data Pipeline Developer

1 week ago

Lahore, Punjab, Pakistan beBeeDataEngineer Full time $70,000 - $100,000

Job Overview

  • We are seeking a skilled data engineer to play a key role in our organization.

Data Engineering Role Description:

This position requires hands-on experience in designing and developing scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations.

  • Create reliable and scalable data pipelines.
  • Clean, validate, and transform data from multiple sources for analytics and operational use.
  • Work with large datasets and ensure high data quality and availability.
  • Develop and maintain ETL workflows using standard tools and scripting languages.
  • Automate data extraction, transformation, and loading processes across systems.
  • Monitor and optimize performance of data workflows for speed and efficiency.
Technical Requirements
  • Strong proficiency in SQL Server (T-SQL, indexing, optimization).
  • Hands-on experience with MongoDB or other NoSQL technologies.
  • Familiarity with data pipeline tools and ETL development.
  • Working knowledge of Python or similar scripting languages.
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 2–3 years of experience in data engineering or database development roles.
  • Understanding of data modeling, normalization, and data warehousing concepts.
  • Strong analytical thinking and problem-solving skills.
Main Responsibilities Include:
  • To design and develop scalable data pipelines that meet business needs.
  • Ensure high-quality and accurate data is delivered to users.
Your Skills & Experience
  • You will have strong programming skills in SQL Server, MongoDB, and Python.
  • You will also have experience working with data pipeline tools and ETL development.
About This Role
  • This role is ideal for experienced data engineers who want to work on complex data projects.
  • You will be responsible for designing and implementing data pipelines that deliver high-quality data to stakeholders.

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