Description

·       Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation
·       ETL development experience with strong SQL background, analyze huge data sets, trends and issues, and create structured outputs.
·       Experience in building high-performing data processing frameworks leveraging Google Cloud Platform
·       Experience in building data pipelines supporting both batch and real-time streams to enable data collection, storage, processing, transformation and aggregation.
·       Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring
·       Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery
·       Experience in scheduling like Airflow, Cloud Composer etc.
·       Experience in Hadoop Big data ecosystem
·       Apache Kafka hands on experience

Education

Any Gradute