| Enterprise Data Architect: Irvine, CA (Onsite) at Enterprise, Utah, USA |
| Email: [email protected] |
| Hi, I hope you are doing great. Kindly find the below-mentioned job description and if interested, share your updated resume at [email protected] Role: Enterprise Data Architect Location: Irvine, CA (Onsite) Duration: Long Term Interview: Video Visa: All Principal Enterprise Data Architect AWS Solutions Architect (professional or Associate) certification is mandatory Data Design Management Lead the strategy design, development, implementation, and maintenance of complex data systems and solutions in the cloud Create and maintain current and target state cloud database, data warehouse, data platform and big data architect ures. Define and manage cloud data warehouse and big data technology standards, guidelines, and processes to ensure data quality Consult with external industry leading cloud providers to ensure cloud data warehouse and big data technology solutions are in alignment with data architect ure principles and target state Oversee end-to-end cloud data warehouse and big data life cycle management activities Deploy and manage Redshift and other cloud scale data warehouses in Amazon Web Services (AWS) cloud environment. Oversight data warehouse maintenance, optimization, and configuration tuning in AWS cloud environments. Automate provisioning, operation, monitoring, and troubleshooting of data warehouses in AWS cloud environment Perform Disaster Recovery (DR) planning and execution in accordance with RPO/RTO and defined SLAs Own product data sets from the definition phase through to production deployment. Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time. Provide solutions for the design and implementation of Data Lake Cluster/ Big Data Infrastructure in AWS cloud environment. Deploy and maintain Big Data/Spark and database storage Infrastructures in AWS cloud. Create data environments and/or data sets to serve a wide range of data users, including but not limited to Data Scientists, Data Analysts, Business Analysts etc Perform offline analysis of large data sets using components of a big data software ecosystem. Support the evaluation of big data technologies and prototype solutions to improve data processing architecture. Troubleshoot and determine root cause of complex data provenance, metadata issues and engineering questions that may involve interfacing with various technical staff in multiple organizations and with differing levels of expertise. Investigate, evaluate, test and recommend technical solutions for future systems. Develop tools and procedures to monitor and automate system tasks on servers and clusters Architect and Author complex extract, transform and load (ETL) scripts for moving and curating data into data sets for storage and use by a Data Lake, data warehouse and Data Mart. Technical Advisor Collaborate with other teams to design, develop, and deploy data tools that support both operations and product use cases. Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead Knowledge and Skills Knowledge of database concepts, object and data modeling techniques and design principles Detailed knowledge of database architectures, software, and facilities Successful history of manipulating, processing, and extracting value from large, disconnected data sets Experience with programming languages Python (required), Scala, Ruby, R Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL Experience with big data batch processing tools: Hadoop MapReduce, Elasticsearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR Experience with stream-processing systems: Kinesis, Kafka, MQTT Experience with relational NoSQL databases including DynamoDB Ability to write JSON, XML, YAML and other data definition schemas Good verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management. Works on advanced complex technical projects or business issues requiring state of the art technical knowledge or industry. Works on significant and unique issues where analysis of situationsa or data requires an evaluation of intangibles. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results. May be the in-house expert on specific technologies. Ability to provide a leadership role for the work group through knowledge in area of specialization. Education: Bachelors degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience. 12 years of professional experience as a data software engineer 2 years of experience with AWS cloud or other cloud Big Data computing design, provisioning, and tuning. Related Data Analytics, AI/ML and Data Science AWS certification, preferred Thanks & Regards Harshit Sharma | 1Point System LLC Technical Recruiter Office: (704) 980-0370 Fax: 803-832-7973 [email protected] LinkedIn: linkedin.com/in/harshit-sharma-032388212 115 Stone Village Drive Suite C Fort Mill, SC 29708 An E-Verified company | An Equal Opportunity Employer -- Keywords: artificial intelligence machine learning rlang information technology California South Carolina |
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| Fri Oct 06 00:06:00 UTC 2023 |