Cloud Data Engineer
3 days ago
Job Title:
Cloud Data Engineer
Location:
Noida, India
Experience:
3–6 Years
About The Role
We are seeking a talented
Data Engineer
to design, develop, and optimize enterprise-scale data platforms. The role requires strong expertise in
Databricks, PySpark, ETL pipelines, GCP services, Unity Catalog, and Terraform
. The ideal candidate will collaborate with architects and cross-functional teams to deliver secure, scalable, and high-performance data solutions.
Key Responsibilities
- Design, build, and maintain ETL/ELT pipelines using Databricks and PySpark.
- Implement and manage data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, etc.).
- Support data cataloging and governance initiatives using Unity Catalog.
- Ensure data quality, performance, and security across data workflows.
- Collaborate with senior architects to align with enterprise data architecture standards.
- Automate infrastructure deployment and pipeline management using Terraform and CI/CD practices.
- Monitor, troubleshoot, and optimize data pipelines for cost and performance efficiency.
Required Skills & Expertise
- 3–6 years of experience in data engineering or related roles.
- Strong hands-on expertise in Databricks, PySpark, and ETL/ELT processes.
- Proficiency with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, etc.).
- Experience with Unity Catalog for data governance and cataloging.
- Hands-on with Terraform (IaC) for automation and infrastructure management.
- Strong knowledge of SQL and data transformation techniques.
- Understanding of data architecture principles and cloud-native solutions.
- Ability to work in Agile teams and collaborate across functions.
Preferred Qualifications
- Certification in GCP Data Engineer or Databricks.
- Exposure to DevOps practices and CI/CD pipelines for data engineering.
- Knowledge of data governance, security, and compliance best practices.
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