Google Cloud Architect

Minimum Qualification/ requirement :

• Hands-on experience in GCP Suite (4+ years minimum) such as Tera Data, Big Query, PubSub, Data Fusion, Google Cloud Storage, Dataproc, Composer, and Looker.
• Solid understanding of Google Cloud architecture
• Strong work experience in SQL/Data warehousing
• 4+ years of Working experience on tools like Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, etc.
• GCP Architect certification will be an advantage.
• Google cloud Platform GCP Compute, Storage, Data, Network, Security,Devops and Big Data. AI ML services on Google Cloud Bigquery,Cloud Data Flow, Cloud Pub Sub, Cloud BigTable, ML APIs, AutoML
• Cloud ML Serverless Architecture and Security Cloud Functions, Cloud IAM

JOB Description:

• Design and build data engineering solutions using Google Cloud Platform (GCP) services: Tera data, BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, and DataProc.
• Monitoring and improving the quality of the components throughout the development life cycle
• Designing and Developing data modules that convert underlying raw data to more readily usable formats for reporting
• Performing data deep dives to pinpoint Problems
• Identify the application bottlenecks and opportunities to optimize performance and optimize the performance
• Work on extracting, Loading, Transforming, cleaning, and validating data using cloud ETL/ELT tools
• Work with the team to conduct training workshops to identify data sources, flows, and requirements
• Preparing required project documentation and tracking and reporting regularly on the status of projects to all project stakeholders
• Working with Business Analysts and other business teams to get the required data to build the semantic views.
• Periodically update senior management with the status of the project with excellent written and verbal communication skills
• Troubleshoot production issues and coordinate with the support team for code deployment.