About this role
For its Data & AI team in Lahore, Pakistan, zones is hiring a Senior Data Engineer (ETL & Big Data). The work falls under Data & AI, so the day-to-day sits squarely in that field. The schedule mixes office days in Lahore with remote work, so part of the week is in the office and part is at home. The employer is looking for senior experience, which sets the bar for who should apply. Day-to-day work draws on Python, SQL, MongoDB, Docker. The employer's own description further down the page has the rest, including the application link.
Job Overview
Job description provided by zones.
About the Role:
Zones is looking for an experienced Senior Data Engineer to join our Global Analytics & Business Intelligence practice in Lahore. You will design, build, and optimize high-throughput data pipelines that ingest and process transactional records, telemetry, and supply chain data.
Key Responsibilities:
• Architect, deploy, and maintain scalable ETL/ELT pipelines ingesting millions of daily records.
• Design data warehouse models, schema definitions, and dimensional tables in Snowflake / Redshift.
• Collaborate with data scientists, BI developers, and product managers to deliver query-ready data marts.
• Optimize SQL queries, indexing, and storage performance to ensure low-latency dashboards.
• Implement automated data validation, error alerts, and lineage tracking across all feeds.
Requirements & Qualifications:
• 5+ years of hands-on data engineering experience building resilient production pipelines.
• Advanced proficiency in Python and complex SQL query optimization.
• Solid experience with cloud data warehouses (Snowflake, AWS Redshift, or Google BigQuery).
• Familiarity with workflow orchestrators like Apache Airflow or Prefect.
• Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline.