JobCubby JobCubby
Sign up
Strategic Systems International

Senior Data Engineer (Pyspark, Databricks)

Strategic Systems International Lahore, Punjab, Pakistan

Software Development · 501-1,000 employees

Jul 15
data-engineer Senior (5-10 yrs) Full-time Pakistan
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

Build and maintain end-to-end data pipelines while optimizing them for performance, reliability, and scalability. Collaborate with stakeholders to develop AI-ready analytical datasets and implement best practices for data modeling.

What they look for

Pyspark Spark SQL Data Engineering Data Pipelines Databricks Data Modeling Delta Lake ETL ELT Analytical Datasets Metadata Management Problem-solving Communication Collaboration AI Technologies

Requirements

Requires 5+ years of experience in data engineering with strong hands-on proficiency in PySpark, Spark, and SQL. Candidates must have experience working with large-scale datasets and modern data platforms like Databricks.

Full description

Senior Data Engineer (PySpark)

About the Role

We are looking for a Senior Data Engineer with 5+ years of experience to join our Data Engineering team. The ideal candidate should have strong hands-on experience with PySpark, Spark, SQL, and data pipelines, along with the ability to work with large-scale datasets.

You will play a key role in building and optimizing data pipelines while improving their reliability, efficiency, scalability, and performance. This is also an opportunity to work on AI-ready datasets and modern data platforms, with exposure to technologies such as Databricks and Spark.

Key Responsibilities

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

What We're Looking For

  • 5+ years of experience in Data Engineering or a related technical role.
  • Strong hands-on experience with PySpark, Spark, and SQL.
  • Proven experience building and maintaining data pipelines.
  • Experience working with large-scale datasets.
  • Strong understanding of data transformations, modeling, and pipeline architecture.
  • Hands-on experience with Databricks, Delta Lake, or similar technologies.
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong problem-solving and analytical skills.
  • Excellent verbal and written communication skills.
  • Self-motivated, collaborative, and comfortable taking ownership.
  • Willingness and ability to learn new technologies quickly.

Nice to Have

  • Apache Airflow
  • dbt
  • Snowflake
  • Modern ETL/ELT tools
  • AI/ML data pipelines

Education

Bachelor’s or Master’s degree in Computer Science

Culture of Belonging: At SSI, we are committed to fostering a culture of belonging where everyone feels valued, respected, and empowered to contribute and grow.

Similar roles