Sr. Cloud Engineer Job in Datametica

Required Past Experience: 3+ years of overall experience in architecting, developing, testing & implementing Data Platform projects using GCP Components (e.g. BigQuery, Dataflow, Dataproc,DLP,BigTable,Pub/Sub,Compos etc..). Good Understanding of Data Structures. Worked with large datasets and solving difficult analytical problems. Experience working with GIT for Source Code Management Worked with Structured and Unstructured data E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management. Worked with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform Automating manual processes to speed up delivery. Good Understanding of Data Pipeline (Batch and Streaming) and Data Governance Experience in code deployment from lower environment to production. Good communication skills to understand business requirements. Required Skills and Abilities: Mandatory Skills - BigQuery ,Composer, Python, GCP Fundamentals. Secondary Skills Dataproc, DLP, Pub/Sub, Dataflow,Shell Scripting,SQL, Security(Platform & Data) concepts. Knowledge of ETL Migration from On-Premises to GCP Cloud SQL Performance Tuning Batch/Streaming Data Processing Fundamentals of Kafka,Pub/Sub to handle real-time data feeds. Good To Have - Certifications in any of the following: GCP Professional Cloud Architect, GCP Professional Data Engineer Ability to communicate with customers, developers, and other stakeholders. Mentor and guide team members Good Presentation skills Strong Team Player