Lead Data Engineer
20 hours ago
About the Role
We are looking for a highly skilled Data Engineer with strong hands-on experience in Databricks, PySpark, GCP, and cloud data infrastructure. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data-driven decision-making.
Key Responsibilities
- Design, build, and optimize scalable data pipelines and ETL processes using Databricks and PySpark.
- Implement and manage Unity Catalog for data governance, lineage, and access control.
- Develop and maintain infrastructure as code using Terraform for GCP services.
- Create and manage CI/CD pipelines for data engineering workflows.
- Work with GCP Services such as Cloud Build, BigQuery, Firestore, and other related tools.
- Ensure high data quality, security, and availability across all data platforms.
- Collaborate with cross-functional teams including data scientists, analysts, and DevOps engineers.
- Troubleshoot data-related issues and optimize performance.
Required Skills
- Databricks – Expert hands-on experience
- Unity Catalog – Strong understanding and implementation knowledge
- PySpark – Advanced coding and optimization skills
- SQL – Proficient in writing complex queries and performance tuning
- Terraform – Experience in automating infrastructure deployments
- CI/CD – Proficient in setting up automated build and deployment pipelines
- GCP Services – Hands-on experience with Cloud Build, BigQuery, Firestore, etc.
Good to Have
- Knowledge of Git and Agile methodologies
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