Data Engineer - Google Cloud Platform

Mandatory Skills : GCP, Python, SQL, Snap logic, Airflow, Data flow - 6-8 years of experience in to GCP Data engineer.

- GCP Components (Composer, BQ, Data flow, Pub/Sub, Cloud functions, GCS storage) Intermediate - SQL Advanced level - ETL Processing Advanced level - Python Advanced level - Rest API Must Have - Java Advanced level - Other components in GCP Good to Have - Snap logic Must Have - Red shift Good to Have Experience required : - 5 years of application development experience required - 1 - 2 years of GCP experience.

Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow - 2 years coding skills in Java/Python - Work with data team to analyze data, build models and integrate massive datasets from multiple data sources for data modeling - Extracting, Loading, Transforming, cleaning, and validating data, Designing pipelines and architectures for data processing - Architecting and implementing next generation data and analytics platforms on GCP cloud - Experience in working with Agile and Lean methodologies (ref:hirist.tech)