Apply Edge Start your job search

Senior Data Engineer(Databricks)

Recruitzz · Lahore, Punjab, Pakistan

Apply & track with Apply Edge

Job description:Location: Near FC College Lahore (On-site)Working Hours: 3:00 PM – 12:00 AMEmployment Type: Full-timeExperience: 5+ years

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 to support reporting and business intelligence requirements.● Automate repetitive data processes and improve workflow efficiency.● Maintain documentation for pipelines, datasets, schemas, and infrastructure.● Continuously evaluate and improve Droidor’s data stack, architecture, and engineering practices.Required Skills & Experience:● 5+ years of experience in Data Engineering or related roles.● Strong expertise in SQL and database optimization.● Experience building and maintaining ETL/ELT pipelines.● Hands-on experience with Databricks or similar data processing platforms.● Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.● Proficiency in Python for data processing and automation.● Familiarity with workflow orchestration tools such as Airflow or similar platforms.● Strong understanding of data modeling, warehousing, and scalable architecture design.● Experience working with large datasets and distributed systems.● Strong problem-solving and debugging skills.Nice-to-Haves● Experience with Spark, Kafka, or real-time data streaming tools.● Exposure to healthcare or SaaS datasets.● Knowledge of data governance and metadata management.● Familiarity with DevOps, CI/CD, or infrastructure automation.● Experience supporting machine learning pipelines.