Data Engineer - Marham

Taraki


Date: 3 weeks ago
City: Lahore
Contract type: Full time
About The Job

  • Build and maintain data pipelines using Python and Apache Spark.
  • Orchestrate workflows using Airflow and Google Cloud Workflows (CloudFlow).
  • Develop, deploy, and manage containerized data services using Docker and Cloud Run.
  • Design, optimize, and monitor datasets and queries in BigQuery.
  • Ingest, transform, and integrate external data through REST APIs.
  • Manage data lifecycle and storage using Google Cloud Storage (GCS).
  • Implement data quality, monitoring, and observability best practices.
  • Collaborate with cross-functional engineering, product, and data science teams.


Requirements

  • 2–4+ years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python, SQL, and Spark/PySpark.
  • Hands-on experience with Airflow and cloud-native orchestration (e.g., Cloud Workflows).
  • Experience with Docker, containers, and deploying services in Cloud Run.
  • Skilled with BigQuery, GCS, and general GCP data tooling.
  • Experience working with REST APIs and building ingestion integrations.
  • Solid understanding of data modeling, ETL/ELT pipelines, and distributed systems.


Bonus: Experience with healthcare data standards (FHIR, HL7) or regulated environments.

Benefits

  • Competitive salary and performance-based incentives
  • Flexible work arrangements
  • Paid time off and public holidays
  • Professional development opportunities (training, workshops, certifications)
  • Supportive, collaborative, and mission-driven work culture

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