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Job Description
<p>Job Description :</p><p><br/></p><p>- Design, develop and implement data ingestion pipelines to collect, process, and store large and complex datasets using GCP technologies.<br/><br/>- Design and implement data platforms using GCP services such as Cloud Storage, BigQuery, and Dataflow.<br/><br/>- Develop data pipelines to ingest, transform, and load data from various sources into GCP.<br/><br/>- Optimize data processing performance and efficiency using GCP tools and technologies.<br/><br/>- Collaborate with data scientists and analysts to design and implement data models and algorithms for analysis and machine learning.<br/><br/>- Ensure the security, availability, and reliability of Cloud Data Platform systems.<br/><br/>Required Qualifications :<br/><br/>- Bachelor's Engineering Degree in Computer Science, Information Systems, or relevant discipline.<br/><br/>- 8 to 15 years of relevant technology experience.<br/><br/>- Deep experience in GCP cloud data development.<br/><br/>- Experience with GCP Cloud Data technologies such as Cloud Storage, BigQuery, Dataflow, GCP tools, Spark, and Kafka.<br/><br/>- Proficiency in programming languages such as Scala, Java or Python<br/><br/>- Experience with distributed computing and database systems.<br/><br/>- Experience with troubleshooting data issues and identifying root causes of performance bottlenecks.<br/><br/>- Aligned with the latest trends and technologies in data engineering and GCP.<br/><br/>- Strong problem-solving and analytical skills.<br/><br/>- Excellent verbal & written communication and collaboration skills.<br/><br/>- Customer-focused, react well to changes, work with teams and be able to multitask on multiple products and projects.</p> (ref:hirist.tech)
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