We are looking for a skilled Data Engineer with robust 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.
Positive-to-Have Skills:
Databricks
Apache Airflow / Cloud Composer
Kafka
Terraform
Git / CI-CD
Docker / Kubernetes
Data Lake / Lakehouse
Data Quality and Governance
📌 Gcp Data Engineer Hyderabad
🏢 Cerebra
📍 Hyderabad
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