Project Role : Application Designer
Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements.
Must have skills : Google BigQuery
Good to have skills : PySpark, ETL processes, and data wareh, Data Engineer with a focus on
Minimum 3 year(s) of experience is required
Educational Qualification : btech

Job Overview: We are seeking a skilled and experienced Google Cloud Platform (GCP) Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines, data storage, and data processing solutions on GCP. The candidate should have a deep understanding of GCP services, data engineering best practices, and the ability to collaborate with cross-functional teams to deliver high-quality data solutions. Responsibilities: Design and Develop Data Solutions: Design and implement scalable, efficient, and reliable data processing systems using GCP services. Develop ETL (Extract, Transform, Load) processes to move and transform data from various sources to GCP data storage. Data Architecture: Design and optimize data storage solutions on GCP, considering performance, scalability, and cost. Collaborate with data architects to ensure the data architecture aligns with business requirements. Data Integration: Integrate and consolidate data from various sources, ensuring data consistency and accuracy. Work on real-time data processing solutions and batch processing as needed. Performance Tuning: Monitor and optimize the performance of data pipelines, storage, and processing systems. Troubleshoot and resolve data-related issues in a timely manner. Collaboration and Communication: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements. Communicate effectively with technical and non-technical stakeholders. Documentation: Create and maintain comprehensive documentation for data solutions, ensuring knowledge transfer and compliance with best practices. Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Min 3 to 7 years of Industry Experience on GCP Cloud data Engineering Proven experience as a Data Engineer with a focus on Google Cloud Platform. Strong proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Dataprep, etc. Experience with programming languages such as Python, Java, or Scala. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with data governance, security, and compliance. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Preferred Qualifications: GCP Certification in Data Engineering or related areas. Experience with machine learning and AI-related data engineering tasks. Familiarity with DevOps practices for data engineering.

btech

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