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Data Engineer - Marham
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About The Job
Benefits
- 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.
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Collaborate with cross-functional engineering, product, and data science teams.
- 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.
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Solid understanding of data modeling, ETL/ELT pipelines, and distributed systems.
Benefits
- Competitive salary and performance-based incentives
- Flexible work arrangements
- Paid time off and public holidays
- Professional development opportunities (training, workshops, certifications)
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Supportive, collaborative, and mission-driven work culture
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