Proven experience in implementing real-time and Change Data Capture (CDC) data pipelines Strong knowledge of ETL concepts, preferably Informatica, Syncsort, and modern technologies like Fivetran.ĭemonstrated expertise with data sourcing, profiling, data mapping and data analysis. Hands on experience designing, building, and optimizing data pipelines & architecture for large scale data warehouse, data lake and data lakehouse projects. ![]() ![]() Constantly seeking technical solutions that can boost the effectiveness of delivering superior data products.Ī deep understanding of the Hadoop ecosystem, vendor SaaS integrations, RDBMSs, and NoSQL databases and experience with SQL-on-Hadoop technologies (ie - HIVE, Presto, Spark & Databrick SQL)Įxperience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Require a deep understanding of business and technology, bridging gaps between key stakeholders on operational priorities and creating clarity around related requirements from data inception to consumption.Įxpertise in driving data modeling quality across conceptual, logical, and physical levels. Lead the way in business technology by establishing data architecture standards and guidelines for success - becoming an authority on designing efficient, secure architectures. Ability to collaborate cross-functionally ensuring stakeholders are fully apprised.Ī forward-thinking individual capable of taking classic data assets and transforming them into modern, streamlined architecture.įamiliarity with EIS Core Insurance Suite (Polic圜ore, BilllingCore, ClaimCore) data models & software nice to have Lead the charge in crafting Guardian's data architecture vision & developing an architecture roadmap to drive innovation and modernization continuing Guardian transformation journey of building a more contemporary insurance companyĮxcellent comprehension of data management principles and champion of sound architectural and modeling standards. Play an active role in quality assurance (QA) and user acceptance testing (UAT) for data and solution initiatives by reviewing test plan, attending team meetings, and providing necessary documentation.Ĭontinue to look for innovative and next generation solutions for solving data challengesġ5+ years of IT data engineering and architecture experience, with 10+ years of experience leading data teams Support and apply data standardization policies.Įstablish and maintain the quality, supportability, and performance of all processes. Perform data analysis activities including data profiling, creation of data dictionaries, data transformation rules and integration requirements.ĭesign, deliver, and document multi-platform architecture with a focus on architectural standards, growth, performance, flexibility, reliability, scalability, and security.ĭevelop, document, and maintain logical and physical data models for supported applications.Ĭoordinate across organizations as required to support data integration efforts. Integrate DynamoDB, RDS, and Redshift into your Application.Work with an agile team to deliver and evolve the data platform services.Ĭollaborate with team members and IT and business partners to ensure functional and business specifications are converted into flexible, scalable, and maintainable solution designs.Practice working with Lambda and the API Gateway. Practice writing Data Control Language (DCL) and Transaction Control Language (TCL).Practice writing Data Manipulation Language (DML) and Data Query Language (DQL).Practice creating Data Definition Language (DDL). ![]()
0 Comments
Leave a Reply. |