Google Cloud Platform Data Engineer

JD can be of Google Cloud Platform Data Engineer as below. Location remote for now in US. * Google Cloud Platform Data Engineer with 8+ years of experience in Data Analytics and Big Data. * Responsible for extract, transform and load (ETL) processes and the creation of applications that can connect to remote APIs. Preferably including streaming data into environments such as BigQuery on Google Cloud Management Platform. * Preferred Experience in implementing Data Pipelines leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable. * Strong background in Python programming skills * Good experience in implementing data pipelines on Big Data platform using Spark. * Have a good understanding of Google best practice/recommendation and should be able to align the same with the customer requirements to deliver best in class solution for the customer's Analytics requirements. * Working knowledge of microservices using Docker and Kubernetes

• A strong background and exposure to databases, including both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. Redis, Cassandra, MongoDB) database systems * Familiarity with real time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data and relational data * Would be preferred to have been a part of implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to Google Cloud Platform (using Google BigQuery, DataFlow, DataProc etc.) * Work closely with Operations team to tune existing and new architecture.