GCP Data Engineer

Required Qualifications:
Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation
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
Spark - Batch & Streaming (Python, Scala )
Apache Kafka hands on experience
Experience in developing both batch and real-time streaming data pipelines
Python/Shell scripting
Technical Skills:
GCP Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis
Programming languages: Java, Python
Database: Teradata, BigQuery/BigTable

Nice to have Qualifications:
Strong understanding towards Kubernetes, Docker containers and to deploy GCP services is a plus
Knowledge of Scrum/Agile development methodologies is a plus
Any experience with Spark, PySpark, or Kafka is a plus
Data analysis / Data mapping skills is a plus
Knowledge in data manipulation JSON and XML