
Role: GCP Data Engineer
Notice Period: Immediate Joiners
Experience: 5+ years
Location: Remote
Company: Deqode
About Deqode
At Deqode, we work with next-gen technologies to help businesses solve complex data challenges. Our collaborative teams build reliable, scalable systems that power smarter decisions and real-time analytics.
Key Responsibilities
- Build and maintain scalable, automated data pipelines using Python, PySpark, and SQL.
- Work on cloud-native data infrastructure using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow).
- Implement clean, reusable transformations using DBT and Databricks.
- Design and schedule workflows using Apache Airflow.
- Collaborate with data scientists and analysts to ensure downstream data usability.
- Optimize pipelines and systems for performance and cost-efficiency.
- Follow best software engineering practices: version control, unit testing, code reviews, CI/CD.
- Manage and troubleshoot data workflows in Linux environments.
- Apply data governance and access control via Unity Catalog or similar tools.
Required Skills & Experience
- Strong hands-on experience with PySpark, Spark SQL, and Databricks.
- Solid understanding of GCP services (BigQuery, Cloud Functions, Dataflow, Cloud Storage).
- Proficiency in Python for scripting and automation.
- Expertise in SQL and data modeling.
- Experience with DBT for data transformations.
- Working knowledge of Airflow for workflow orchestration.
- Comfortable with Linux-based systems for deployment and troubleshooting.
- Familiar with Git for version control and collaborative development.
- Understanding of data pipeline optimization, monitoring, and debugging.

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