Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Confluent Event Streaming Platform, Google Cloud Data Services, Cloud Data Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : Total 15 years of full time education

Summary: As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using Google Cloud Platform Architecture. Roles & Responsibilities: - Assist with the blueprint and design of the data platform components using Google Cloud Platform Architecture. - Designing and implementing scalable data architectures on GCP to support data storage, processing, and analytics requirements - Develop and maintain data pipelines and data processing systems using Google Cloud Data Services and Confluent Event Streaming Platform. - Developing ETL (or ELT) processes to move and transform data between different systems and storage solutions - Utilizing GCP services like BigQuery, Cloud Storage, Cloud Dataprep, Cloud Dataflow, Cloud DataProc for data storage, processing, and analytics - Implementing real-time data processing solutions using GCP services like Kafka, Cloud Pub/Sub and Cloud Dataflow for stream processing. - Managing and optimizing databases on GCP, including services like Cloud SQL, Cloud Spanner, and Cloud Bigtable - Design and implement data security and privacy measures to ensure data integrity and compliance with regulatory requirements. - Implement CICD to deploy data foundation services using IaC Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture. - Good To Have Skills: Experience with Google Cloud Data Services, Confluent Event Streaming Platform, and Data Engineering. - Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , Pub/Sub, Cloud Function, Big Query & Big Table - Experience with developing and maintaining data pipelines. - Experience with data processing systems using Google Cloud Data Services and Kafka. - Proven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, R, UNIX Shell, php, ruby - Experience in writing CI/CD, IaC (Terraform, Cloud Deployment Manager, Cloud SDK) - Knowledge of data security and privacy measures, including data encryption, access control, and data masking techniques. Additional Information: - The candidate should have a minimum of 6 years of total IT experience - The candidate should have a minimum of 2 years of experience in Google Cloud Platform Architecture. - The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of delivering impactful data-driven solutions. - Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification

Total 15 years of full time education

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