Data Engineer-GCP

Must Have Skills:

Strong GCP Data Services Expertise - Hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Ability to design scalable data solutions using native GCP tools.

Experience in Data Pipeline Development (Batch & Streaming) - Building and maintaining ETL/ELT pipelines, Experience with real-time streaming and batch processing.

Strong Programming & Query Skills - Proficiency in Python and SQL, Experience with data processing frameworks like Apache Beam or Spark

Understanding of Data Modeling & Warehousing - Strong understanding of data modeling (star/snowflake schemas), Experience designing and optimizing data warehouses (BigQuery)

Nice To Have Skills

Experience in Multi-Cloud Exposure : Understanding of cross-cloud data integration and migration, Experience working with AWS or Azure alongside GCP

Knowledge of Streaming & Messaging Frameworks : Experience with Kafka or advanced Pub/Sub patterns, Knowledge of real-time data architectures

Basic Understanding of Containerization & Orchestration : Hands-on with Docker and Kubernetes (GKE), Ability to deploy and manage data workloads in containerized environments

Data Governance & Security : Familiarity with data lineage, cataloging, and governance tools, Understanding of IAM roles, data security, and compliance in GCP.