Senior Data Engineer (Databricks)

Company Description DataGraders is a consultancy specializing in data warehousing, business intelligence, and business planning services that help organizations turn data into informed decisions. The team is composed of experienced professionals skilled across a wide range of analytics and BI solutions.

Strategies and solutions are tailored to each client’s unique business goals, from requirements gathering through implementation of robust, scalable architectures. DataGraders focuses on empowering businesses to fully leverage their data, driving measurable improvements in performance and decision-making.

Joining DataGraders means partnering with a company committed to client success in a rapidly evolving, data-driven landscape.

Role Description The Senior Data Engineer (Databricks) will design, build, and optimize scalable data pipelines and platforms to support advanced analytics and reporting. This full-time, on-site role in Lahore involves working closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into efficient data models and ETL processes.

Responsibilities include developing and maintaining Databricks-based solutions, integrating data from multiple sources, ensuring data quality and reliability, and implementing best practices in data warehousing and governance.

The Senior Data Engineer will also monitor system performance, troubleshoot issues, and contribute to the continuous improvement of DataGraders’ data engineering standards and frameworks. Qualifications

Strong data engineering skills, including building, maintaining, and optimizing large-scale data pipelines and distributed data processing solutions.
Experience in data modeling and designing scalable, maintainable schemas for analytics and reporting environments.
Hands-on expertise with Extract Transform Load (ETL) processes, including orchestration, automation, and performance tuning.
Proficiency in data warehousing concepts and implementation, including star/snowflake schemas and modern cloud data platforms.
Applied data analytics skills, with the ability to support BI teams and stakeholders by providing clean, reliable, and well-structured data.
Advanced experience with Databricks, Spark, and at least one major cloud platform (e.g., AWS, Azure, or GCP).
Strong proficiency in SQL and one or more programming languages commonly used in data engineering (such as Python or Scala).
Knowledge of data governance, security, and best practices for data quality, monitoring, and documentation.
Ability to collaborate effectively with cross-functional teams, communicate complex technical concepts clearly, and work independently with minimal supervision.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.