Gcp Data Engineer

Role & responsibilities

Position: Data Engineer

Job Description:

We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and data platforms.

Key Responsibilities:

• Design and develop scalable data pipelines and ETL/ELT workflows.
• Develop data ingestion, transformation, and integration processes.
• Work with large structured and unstructured datasets.
• Build and optimize cloud-based data warehouses and data lakes.
• Perform data cleansing, validation, and data quality checks.
• Develop and optimize SQL queries and data processing jobs.
• Work with GCP data services and cloud-native technologies.
• Monitor, troubleshoot, and optimize production data pipelines.
• Collaborate with Data Scientists, Data Analysts, Developers, and business teams.

Must-Have / Mandatory Skills:

• Google Cloud Platform (GCP) Mandatory
• BigQuery
• Python
• SQL
• ETL / ELT
• Data Pipeline Development
• Data Warehousing
• Data Modeling
• Apache Spark / PySpark
• GCP Data Services such as Dataflow, Dataproc, Cloud Storage, Pub/Sub
• Experience with cloud data engineering and data integration.

Good-to-Have Skills:

• Databricks
• Apache Airflow / Cloud Composer
• Kafka
• Terraform
• Git / CI-CD
• Docker / Kubernetes
• Data Lake / Lakehouse
• Data Quality and Governance