GCP Data Analytics

Experience: experience with a strong background in diagnosing and troubleshooting complex data pipelines, ELT/ETL processes, and analytics issues on cloud platforms.
**Technologies:**Data Warehousing & Lake: BigQuery (including Analytics Hub and BigQuery ), Cloud Storage (GCS).
Data Pipeline & Transformation: Cloud Dataflow (Apache Beam), Cloud Dataproc (Hadoop/Spark on GCP), Dataform, and Cloud Data Fusion. Ingestion & Messaging: Cloud Pub/Sub, Datastream (CDC).
Orchestration: Cloud Composer (Apache Airflow), Cloud Scheduler.
Governance & Security: Dataplex (Data Catalog/Quality), Sensitive Data Protection (Cloud DLP), and IAM.
Core Skills: Advanced SQL (specifically BigQuery Standard SQL), troubleshooting GCP ETL/ELT pipelines, trace/log analysis using GCP Cloud Logging and Cloud Monitoring, and understanding of Data Governance principles.
Must Have: Excellent communication and customer handling skills. Strong SQL skills, hands-on experience troubleshooting data transformations (e.g., pipeline latency, data skew, out-of-memory errors), and familiarity with Looker or similar BI tools.
Good to Have: IAM permissions troubleshooting, performance optimization for BigQuery (slot management, partitioning, clustering), and CI/CD for data pipelines.
BI & Visualization: Looker, Looker Studio (formerly Data Studio).
Certification: Google Cloud Professional Data Engineer (Highly Preferred) or Google Cloud Associate Cloud Engineer (ACE). or Associate Data Practitioner