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Staff/Senior Data Engineer - ETL/AWS/Python/Apache

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10Pearls

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Location:
Pakistan , Islamabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have 5+ years of experience with a strong background in Python, SQL, Data Pipelines, data modeling, Apache Spark and Snowflake. The role involves designing, building, and maintaining scalable data solutions that support analytics and business decision-making.

Job Responsibility:

  • Develop, construct, test, and maintain production-grade, scalable data pipelines
  • Design and implement robust data models for analytics and reporting
  • Assemble large, complex data sets that meet functional and non-functional business requirements
  • Improve data reliability, quality, and performance across pipelines
  • Prepare curated datasets for analytics and advanced modeling use cases
  • Identify opportunities to automate data workflows and processes
  • Build and manage data workflows using Apache Airflow
  • Optimize data processing using Apache Spark (batch and/or streaming workloads)
  • Collaborate with Product, Analytics, and Engineering teams to understand evolving business requirements and deliver scalable data solutions
  • Monitor pipeline health and implement logging, alerting, data quality checks, and performance tuning
  • Apply best practices for version control, CI/CD, and deployment using Git and Docker
  • Design and implement cloud-native data solutions on AWS or GCP following the best practices for cloud platforms
  • Ensure data security, governance, access control, and schema evolution best practices are followed

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • Minimum of 5 years of hands-on experience in data engineering, building production data pipelines
  • Strong hands-on experience with Python and SQL
  • Proven experience building ELT/ETL pipelines at scale
  • Solid understanding of data modeling concepts including dimensional, star, and analytical schemas
  • Hands-on experience with Apache Spark / PySpark for large-scale data processing
  • Experience with workflow orchestration tools such as Apache Airflow
  • Experience with cloud data warehouses such as Snowflake or BigQuery
  • Hands-on experience building data engineering solutions on cloud platforms (AWS or GCP)
  • Experience using Docker for containerized applications
  • Familiarity with CI/CD pipelines and modern DevOps practices for data platforms
  • Strong problem-solving skills and attention to detail
  • Strong communication skills

Additional Information:

Job Posted:
January 15, 2026

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