GCP/Teradata Data Engineer

Required Qualifications
·   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 and Teradata
·   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 JIRA or any other Project Management Tools
·   Experience in CI/CD automation pipeline facilitating automated deployment and testing
·   Experience in bash shell scripts, UNIX utilities & UNIX Commands
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

Technical Skills
GCP Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis
Programming languages: Java, Python
Database: Teradata, BigQuery/BigTable.