| Data Architect, NJ at Remote, Remote, USA |
| Email: [email protected] |
| From: Vanitha Mani, Themesoft [email protected] Reply to: [email protected] Hi, Greetings from Vanitha Themesoft Inc We are Hiring Data Architect, NJ Role- Data Architect Location - Plainsboro/Jersey City, NJ Hybrid Experience - 15 Data Architect Primary Skills Data Warehousing, DataStream, ETL Fundamentals, Python, Snowpipe, SnowSQL, SQL, SQL (Basic + Advanced), Time Travel and Fail Safe Secondary Skills Informatica PC, Tableau, Snowflake Specialization Snowflake Engineering: Associate Director, Data Engineering Your responsibilities in this role will include: Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence, and deployment infrastructure diagrams Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects Experience with gathering end user requirements and writing technical documentation Time management and multitasking skills to effectively meet deadlines under time-to-market pressure Suggest innovative solutions based on new technologies and latest trends to sales team Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution Work closely with sales team and clients to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business Key Competencies: Must have total 12 yrs. in IT and 3 years experience working as a snowflake Data Architect and 8 years in Data warehouse, ETL, BI projects Must have experience at least two end-to-end implementation of Snowflake cloud data warehouse Expertise in Snowflake data modelling, ELT using Snowflake SQL, implementing complex stored procedures and standard DWH and ETL concepts Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features Expertise in deploying Snowflake features such as data sharing, events, and lake-house patterns Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python Experience in Data Migration from RDBMS to Snowflake cloud data warehouse Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling) Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features Experience with data security and data access controls and design Experience with Azure data storage and management technologies such as ADLS Build processes supporting data transformation, data structures, metadata, dependency and workload management Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface Must have expertise in Azure Platform as a Service (PAAS) Certified Snowflake cloud data warehouse Architect (Desirable) Should be able to troubleshoot problems across infrastructure, platform, and application domains Must have experience of Agile development methodologies Strong written and communication skills Effective and persuasive in both written and oral communication Nice to have skills: Architect level certification from AWS / Azure / GCP Experience being part of Snowflake Practice/COE Data Science / AI ML implementation experience Thanks & Regards, _____________________ Vanitha Mani. M US IT Recruiter E-Mail: [email protected] https://www.linkedin.com/in/vanitha-mani-1145b216a/ Keywords: artificial intelligence machine learning business intelligence information technology procedural language New Jersey |
| [email protected] View all |
| Thu Nov 16 00:27:00 UTC 2023 |