Senior Data Engineer: PySpark & Databricks

Strategic Systems International

Lahore

On-site

PKR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

Strategic Systems International seeks a Senior Data Engineer (PySpark) to join our Data Engineering team in Lahore. You will design, build and optimize end-to-end data pipelines, ensuring reliability, scalability and performance on large-scale datasets.

You will work with PySpark, Spark and SQL, expose AI-ready datasets, and collaborate with stakeholders to translate business requirements into robust data solutions using platforms like Databricks and Delta Lake.

Qualifications

  • 5+ years of experience in Data Engineering or related role.
  • Strong hands-on experience with PySpark, Spark, and SQL.
  • Proven experience building and maintaining data pipelines.
  • Experience working with large-scale datasets.
  • Ability to translate business requirements into data solutions.

Responsibilities

  • Build and maintain end-to-end data pipelines.
  • Develop best practices for data modeling and pipeline development.
  • Create AI-ready analytical datasets with structure, metadata, and context.
  • Solve complex data pipeline challenges using PySpark and SQL.
  • Collaborate with stakeholders to incorporate business logic into pipelines.
  • Work with large-scale datasets and optimize data processing for performance and reliability.
  • Contribute to data engineering standards and processes.
  • Gain hands-on exposure to Databricks, Spark, AI technologies, and modern ETL tools.
  • Collaborate with engineering and business stakeholders to deliver high-quality data solutions.

Skills

PySpark
Spark
SQL
Data pipelines
Big data

Education

Bachelor's or Master's in CS

Tools

Databricks
Delta Lake
Snowflake

Job description

Strategic Systems International seeks a Senior Data Engineer (PySpark) to join our Data Engineering team in Lahore. You will design, build and optimize end-to-end data pipelines, ensuring reliability, scalability and performance on large-scale datasets.

You will work with PySpark, Spark and SQL, expose AI-ready datasets, and collaborate with stakeholders to translate business requirements into robust data solutions using platforms like Databricks and Delta Lake.

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