| Data Engineer::Quincy, MA 02171::6+ Months-Locals only at Quincy, Massachusetts, USA |
| Email: [email protected] |
| From: AMIT, SUS [email protected] Reply to: [email protected] Position: Data Engineer Location: Quincy, MA 02171 Duration:6+ Months Client: EOHHS Interview Process: 1 Tech phone screens 1 Skype or face to face if local. POSITION OVERVIEW: The Senior Data Engineer (SDE) will lead the new Snowflake & Informatica implementation of the agency. The individual in this role will collaborate with business users and other engineers to build a new data warehouse solution using Snowflake. The SDE will help with the overall Data Strategy, including infrastructure, software, utilities/tools, Public Cloud Solutions, and Business Intelligence Solutions for the organization. DETAILED LIST OF JOB DUTIES AND RESPONSIBILITIES: Provide an understanding of Snowflake Data Warehouse, Data Movement, Data Curation, Data Staging, and Transformation best practices. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Create and contribute to the automation of essential processes related to infrastructure solution deployment, creating repeatable and robust deployments. Perform advanced data transformation activities using Informatica, PL/SQL, Oracle Database tuning, SQL tuning, and Informatica Server administration. Provide hands-on solutions, including platform ownership and supporting essential platform capabilities. Responsible for Performance and performance tuning, Data Quality, Protection, and Availability Responsible for developing and implementing solutions related to Snowflake and preparing data for Business Intelligence Fully document all solution work, including designs and configurations Play an essential role in troubleshooting data system problems and providing viable solution options QUALIFICATIONS: Minimum eight years of experience in IT with a focus on Enterprise Data Solutions 5 years of experience in: Snowflake Data Solutions, hands-on Data warehousing methodologies and modelling techniques Data migration methods of on-prem to cloud data solutions, including ELT/ETL Tools and concepts Working with Batch and Stream data SQL, preferable Snowflake SQL Massively Parallel Processing (MPP) Analytical Datastores Education Requirements Bachelors degree in computer science, engineering, or Management Information Systems, or related IT field. Regards, Amit Panthri Technical Recruiter E: [email protected] Keywords: information technology procedural language Massachusetts |
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| Thu Jan 04 19:56:00 UTC 2024 |