Senior Data Engineer

2 days ago

Lahore, Punjab, Pakistan Maqsood Labs Full time

About the role

We're modernising our analytics platform around Google Cloud. Your mission is to land data from high-volume MySQL systems into BigQuery, model it for self-service reporting, and build production-grade ML pipelines. You'll own everything from ingestion and orchestration to cost governance and data quality.

Key responsibilities:Area What you'll drive

Data ingestion & modelling (transformation)

Design and maintain robust MySQL → GCS → BigQuery pipelines (full + incremental). Implement partitioning, clustering, and materialised views for speed and economy.

Pipeline orchestration

Build DAGs in Airflow/Cloud Composer; automate testing, CI/CD, and deployment with Terraform and Cloud Build.

Machine-learning workflows

Develop end-to-end Machine Learning Pipelines (data prep, training, validation, registry, deployment) and integrate to BigQuery ML for rapid prototyping.

Data quality & observability

Establish automated validation gates, freshness SLAs, lineage, and alerting.

FinOps & security

Optimise slot reservations, query costs and storage lifecycle; enforce IAM least privilege, encryption, and compliance (GDPR, UAE PDPL).

Stakeholder enablement

Translate ad-hoc analytics/ML needs into technical plans; document clearly and mentor analysts & junior engineers.

Must-have skills

  • Expert SQL with BigQuery optimisation (partition, cluster, materialised views).
  • Proficient Python (pandas or Polars) for transformation and scripting.
  • Demonstrated MySQL → GCS → BigQuery ingestion (full & CDC).
  • DAG-based orchestration with Airflow / Cloud Composer (or equivalent).
  • Infrastructure-as-Code using Terraform or Deployment Manager.
  • ML Pipelines & MLOps best-practice (experiment tracking, registry, CI/CD).
  • Automated data-quality gates, freshness SLAs, and lineage.
  • Cost-optimisation dashboards; slot & reservation tuning.

Nice-to-have / future-proof skills

  • Streaming patterns (Pub/Sub → Dataflow → BigQuery).
  • dbt or Dataform for SQL-first transformations.
  • Cloud Run / Cloud Functions for lightweight services.
  • Gen-AI assisted pipeline code-gen; OpenLineage integration.
  • Proven mentorship, on-call ownership, and stakeholder communication.

Experience & education

  • 5+ years in data engineering or similar roles, with at least 2 years on GCP.
  • Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • Relevant certifications a plus (e.g., Google Pro
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