Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
Must have skills : Google BigQuery
Good to have skills : Python (Programming Language), GCP Dataflow
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
We are seeking a highly skilled and experienced Senior Data Engineer to join our global agile team. In this role, you will design, develop, and optimize data solutions on Google Cloud Platform (GCP) to support enterprise-scale data initiatives. You will work closely with cross-functional teams to translate business requirements into robust, scalable, and secure data pipelines and models. This is an exciting prospect to contribute to cutting-edge data engineering practices while mentoring junior team members and driving innovation in data solutions.
Key Responsibilities:
Act as a Subject Matter Expert (SME) in Google BigQuery and related GCP services.
Collaborate with stakeholders to gather requirements and design end-to-end data solutions.
Develop and implement data integration pipelines for batch and streaming data using tools like Apache Beam (Google Dataflow), Google Cloud Functions, and Google Workflows.
Build and optimize semantic models and layers, such as LookerML or Power BI, to enable data visualization with KPIs and metrics.
Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and handling of slowly changing dimensions (Type I & II).
Ensure data quality, security, and governance by implementing best practices in IAM, encryption, tokenization, and native security features like row-level and column-level security in Google BigQuery.
Monitor and optimize data
📌 Cloud Platform Engineer (Navi Mumbai)
🏢 Accenture in India
📍 Navi Mumbai
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