Senior Data Engineer (Databricks)

About the role

DataGraders is seeking a Senior Data Engineer with deep expertise in Databricks to design, build, and optimise scalable data pipelines for advanced analytics and reporting. The role is full‑time, on‑site in Lahore, and involves close collaboration with data analysts, data scientists, and business stakeholders.

Key responsibilities

• Develop and maintain Databricks‑based solutions, integrating data from multiple sources.
• Design scalable, maintainable schemas and ETL processes, ensuring data quality and reliability.
• Monitor system performance, troubleshoot issues, and drive continuous improvement of data engineering standards.
• Implement data‑warehousing best practices, including star and snowflake schemas, and enforce data governance policies.

Required profile

• Strong experience building and optimising large‑scale data pipelines and distributed processing solutions.
• Hands‑on expertise with Databricks, Apache Spark, and at least one major cloud platform (AWS, Azure, or GCP).
• Proficiency in SQL and programming languages such as Python or Scala.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.

Required skills

• Databricks
• Apache Spark
• AWS / Azure / GCP
• SQL
• Python
• Scala
• ETL orchestration and automation
• Data modelling and data‑warehousing concepts