Gcp Data Engineer

Requirement:

• Mandatory to have knowledge of Big Data Architecture Patterns and experience in delivery of BigData and Hadoop Ecosystems.
• Strong experience required in GCP . Must have done multiple large projects with GCP Big Query and ETL
• Experience working in GCP based Big Data deployments (Batch/Realtime) leveraging components like GCP Big Query, air flow, Google Cloud Storage, Data fusion, Data flow, Data Proc etc
• Should have experience in SQL/Data Warehouse
• Expert in programming languages like Java, Hadoop, Scala
• Expert in at least one distributed data processing frameworks: like Spark (Core, Streaming , SQL), Storm or Flink etc.
• Should have worked on any of Orchestration tools Oozie , Airflow , Ctr-M or similar, Kubernetes.
• Worked on Performance Tuning, Optimization and Data security
• Preferred Experience and Knowledge:
• Excellent understanding of data technologies landscape / ecosystem.
• Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and Kubernetes engine would be an added advantage.
• Well versed with pros and cons of various database technologies like Relational, BigQuery, Columnar databases, NOSQL
• Exposure in data governance, catalog, lineage and associated tools would be an added advantage.
• Well versed with SaaS, PaaS and IaaS concepts and can drive clients to a decisions
• Good skills in Python Language and PYSPARK