Senior Data Engineer (Databricks)

About the role

Droidor is hiring a Senior Data Engineer based near FC College Lahore, working on site. The role covers designing and maintaining scalable data pipelines, optimizing data architectures and warehouses, and collaborating with analysts and stakeholders on reporting and business intelligence needs. Working hours are 3:00 PM to 12:00 AM.

Key responsibilities

• Design, build and maintain scalable ETL/ELT pipelines from internal systems, APIs and external data sources.
• Develop and optimize data architectures, warehouses and storage solutions.
• Clean, validate and transform raw data for downstream analytics and reporting.
• Write and optimize complex SQL queries and data models.
• Manage and monitor data workflows, performance and reliability.
• Ensure data quality, integrity, consistency and security across systems.
• Collaborate with analysts and stakeholders on reporting and BI requirements.
• Automate repetitive data processes and maintain documentation for pipelines, datasets, schemas and infrastructure.
• Continuously evaluate and improve the data stack, architecture and engineering practices.

Required profile

• 5+ years of experience in Data Engineering or related roles.
• Strong SQL and database optimization skills.
• Hands-on experience with Databricks or similar data processing platforms.
• Experience with large datasets and distributed systems, and strong problem-solving and debugging skills.

Required skills

• ETL/ELT pipeline development and maintenance.
• Cloud data warehouses such as Snowflake, BigQuery or Redshift.
• Python for data processing and automation.
• Workflow orchestration tools such as Airflow.
• Data modeling, warehousing and scalable architecture design.
• Nice to have: Spark, Kafka, real-time streaming, data governance and metadata management, DevOps/CI/CD, ML pipeline support.