Used sandbox parameters to check in and checkout of graphs from repository Systems. Writing Tuned SQL queries for data retrieval involving Complex Join Conditions. Worked on performance tuning by using explain and collect statistic commands. Get started quickly with Snowpark for data pipelines and Python with an automated setup. Documenting guidelines for new table design and queries. When working with less experienced applicants, we suggest the functional skills-based resume format. *The names and logos of the companies referred to in this page are all trademarks of their respective holders. Performed data quality analysis using SnowSQL by building analytical warehouses on Snowflake. Involved in writing procedures, functions in PL/SQL. DataWarehousing: Snowflake Teradata Change Coordinator role for End-to-End delivery i.e. Curated by AmbitionBox. Experience in extracting the data from azure data factory. | Cookie policy, Informatica Developers/Architects Resumes, Network and Systems Administrators Resumes, Help Desk and Support specialists Resumes, Datawarehousing, ETL, Informatica Resumes, Business Intelligence, Business Object Resumes, Sr. Oracle PL/SQL Developer Resume West Des Moines, IA, Hire IT Global, Inc - LCA Posting Notices, Total 9+ hands on experience with building product ionized data ingestion and processing pipelines using Java, Spark, Scala etc and also experience in designing and implementing production grade data warehousing solutions on large scale data technologies. Creating reports and prompts in answers and creating dashboards and links for the reports. Whats worse than a .docx resume? In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles, Build the Logical and Physical data model for snowflake as per the changes required. Jpmorgan Chase & Co. - Alhambra, CA. 5 + Years Clairef IT experience in the Analysis, Design, DevelClairepment, Testing, and ImplementatiClairen Clairef business applicatiClairen systems fClairer Health care, Financial, TelecClairem sectClairers. Served as a liaison between third-party vendors, business owners, and the technical team. Created Different types of reports including Union and Merged and prompts in answers and created the Different dashboards. Good exposure in cloud storage accounts like AWS S3 bucket, creating separate folders or each environment in S3 and then placing data files for external teams. Extensively worked on data extraction transformation and loading form source to target system using BTEQ, FASTLOAD and MULTILOAD, Writing ad-hoc queries and sharing results with business team. View answer (1) Q2. Created Different types of Dimensional hierarchies. Used Avro, Parquet and ORC data formats to store in to HDFS. Have good knowledge on Snowpipe and SnowSQL. Estimated work and timelines, split workload into components for individual work which resulted in providing effective and timely business and technical solutions to ensure Reports were delivered on time, adhering to high quality standards and meeting stakeholder expectations. Validating the data from Oracle Server to Snowflake to make sure it has Apple to Apple match. . Worked on HP Quality Center (QC)/Application Life Cycle Management (ALM) testing technology to test System. Snowflake for Developers Explore sample code, download tools, and connect with peers Get started with Snowflake Apps Create apps that auto-scale and can be deployed globally. Snowflake Developers. Kani Solutions Inc. +1 location Remote. AWS Services: EC2, Lambda, DynamClaireDB, S3, CClairede deplClairey, CClairede Pipeline, CClairede cClairemmit, Testing TClaireClairels: WinRunner, LClaireadRunner, Quality Center, Test DirectClairer, WClairerked Clairen SnClairewSQL and SnClairewPipe, Created SnClairewpipe fClairer cClairentinuClaireus data lClairead, Used CClairePY tClaire bulk lClairead the data, Created data sharing between twClaire snClairewflake accClaireunts, Created internal and external stage and transfClairermed data during lClairead, InvClairelved in Migrating Clairebjects frClairem Teradata tClaire SnClairewflake, Used TempClairerary and transient tables Clairen different databases, Redesigned the Views in snClairewflake tClaire increase the perfClairermance, Experience in wClairerking with AWS, Azure, and GClaireClairegle data services, WClairerking KnClairewledge Clairef any ETL tClaireClairel (InfClairermatica), ClClairened PrClaireductiClairen data fClairer cClairede mClairedificatiClairens and testing, Shared sample data using grant access tClaire custClairemer fClairer UAT, DevelClairep stClairered prClairecedures/views in SnClairewflake and use in Talend fClairer lClaireading DimensiClairenal and Facts, Very gClaireClaired knClairewledge Clairef RDBMS tClairepics, ability tClaire write cClairemplex SQL, PL/SQL. Observed the usage of SI, JI, HI, PI, PPI, MPPI and compression on various tables. Published reports and dashboards using Power BI. Co-ordinating the design and development activities with various interfaces like Business users, DBAs etc. Maintenance and development of existing reports in Jasper. $130,000 - $140,000 a year. Migrate code into production and Validate data loaded into tables after cycle completion, Creating FORMATS, MAPS, Stored procedures in Informix database, Creating/modifying shell scripts to execute Graphs and to load data to into tables by using IPLOADER. Used SNOW PIPE for continuous data ingestion from the S3 bucket. Involved in the complete life cycle in creating SSIS packages, building, deploying, and executing the packages in both environments (Development and Production). Created Dimensional hierarchies for Store, Calendar and Accounts tables. When writing a resume summary or objective, avoid first-person narrative. Have good knowledge and experience on Matillion tool. Created RPD and Implemented different types of Schemas in the physical layer as per requirement. Worked with both Maximized and Auto-scale functionality. Major challenges of the system were to integrate many systems and access them which are spread across South America; creating a process to involve third party vendors and suppliers; creating authorization for various department users with different roles. Design, develop, test, implement and support of Data Warehousing ETL using Talend. Establishing the frequency of data, data granularity, data loading strategy i.e. Experience with Snowflake SnowSQL and writing use defined functions. Data warehouse experience in Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD) techniques etc. IDEs: Eclipse,Netbeans. Developed and optimized complex SQL queries and stored procedures to extract insights from large datasets. Experience in uplClaireading data intClaire AWS-S3 bucket using infClairermatiClairen amazClairenS3 plugin. Created data sharing between two snowflake accounts. Unless specifically stated otherwise, such references are not intended to imply any affiliation or association with LiveCareer. Good knowledge on Unix shell scriptingKnowledge on creating various mappings, sessions and Workflows. Developed highly optimized stored procedures, functions, and database views to implement the business logic also created clustered and non-clustered indexes. Functional skills-based resumes focus on your personality, the skills you have, your interests, and your education. Translated business requirements into BI application designs and solutions. Extensively used Oracle ETL process for address data cleansing. Submit your resume Job description The Senior Snowflake Consultant will be proficient with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science and data warehouses using Snowflake. Expertise in Design and Developing reports by using Hyperion Essbase cubes. Created Snowpipe for continuous data load. Developed data validation rule in the Talend MDM to confirm the golden record. Produce and/or review the data mapping documents. Extensively used Integrated Knowledge Module and Loading knowledge module in ODI Interfaces for extracting the data from different source. Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale. Developed a data validation framework, resulting in a 25% improvement in data quality. Expertise in creating Projects, Models, Packages, Interfaces, Scenarios, Filters, Metadata and extensively worked onODIknowledge modules (LKM, IKM, CKM, RKM, JKM and SKM). Development of new reports as per the Cisco business requirements which involves changes in the design of ETL and new DB objects along with the reports. Knowledge on implementing end to end OBIA pre-built; all analytics 7.9.6.3. DBMS: Oracle,SQL Server,MySql,Db2 Snowflake/NiFi Developer Resume - Hire IT People Design and developed end-to-end ETL process from various source systems to Staging area, from staging to Data Marts and data load. Created the new measurable columns in the BMM layer as per the Requirement. Strong experience with ETL technologies and SQL. Created Snowpipe for continuous data load, Used COPY to bulk load the data. Build ML workflows with fast data access and data processing. *The names and logos of the companies referred to in this page are all trademarks of their respective holders. Involved in testing of Pervasive mappings using Pervasive Designer. (555) 432-1000 - resumesample@example.com Professional Summary Over 8 years of IT experience in Data warehousing and Business intelligence with an emphasis on Project Planning & Management, Business Requirements Analysis, Application Design, Development, testing, implementation, and maintenance of client/server Data Warehouse. 2+ years of experience with Snowflake. 4.3 Denken Solutions Inc Snowflake Developer Remote $70.00 - $80.00 Per Hour (Employer est.) (555) 432-1000 resumesample@example.com Professional Summary Over 8 years of IT experience in Data warehousing and Business intelligence with an emphasis on Project Planning & Management, Business Requirements Analysis, Application Design, Development, testing, implementation, and maintenance of client/server Data Warehouse. Developed, supported and maintained ETL processes using ODI. Migrated the data from Redshift data warehouse to Snowflake. Developed reusable Mapplets and Transformations. Extracting business logic, Identifying Entities and identifying measures/dimensions out from the existing data using Business Requirement Document and business users. Created data sharing between two snowflake accounts (ProdDev). Snowflake Architect & Developer Resume 3.00 /5 (Submit Your Rating) Hire Now SUMMARY: Overall 12+ years of experience in ETL Architecture, ETL Development, Data Modelling, Database Architecture with Talend Bigdata, Lyftron, Informatica, Apache Spark, AWS, NoSql, Mongo, Postgres, AWS Redshift & Snowflake. Delivering and implementing the project as per scheduled deadlines; extending post-implementation and maintenance support to the technical support team and client. Fixed the invalid mappings and trClaireubleshClaireClairet the technical prClaireblems Clairef the database. BI Publisher reports development; render the same via BI Dashboards. Designed ETL process using Talend Tool to load from Sources to Targets through data Transformations. ETL Tools: Matillion, Ab Initio, Teradata, Tools: and Utilities: Snow SQL, Snowpipe, Teradata Load utilities, Technology Used: Snowflake, Matillion, Oracle, AWS and Pantomath, Technology Used: Snowflake, Teradata, Ab Initio, AWS and Autosys, Technology Used: Ab Initio, Informix, Oracle, UNIX, Crontab, Talk to a Recruitment Specialist Call: (800) 693-8939, © 2023 Hire IT People, Inc. Created multiple ETL design docs, mapping docs, ER model docs, Unit test case docs. Find more Quickstarts|See our API Reference, 2023 Snowflake Inc. All Rights Reserved. By clicking Customize This Resume, you agree to ourTerms of UseandPrivacy Policy. For long running scripts, queries identifying join strategies, issues, bottlenecks and implementing appropriate performance tuning methods. Create apps that auto-scale and can be deployed globally. Creating new tables and audit process to load the new input files from CRD. Snowflake Developer Roles And Responsibilities Resume - The contact information section is important in your data warehouse engineer resume. Awarded for exceptional collaboration and communication skills. Identified and resolved critical issues that increased system efficiency by 25%. Used ETL to extract files for the external vendors and coordinated that effort. If youre in the middle or are generally looking to make your resume feel more modern and personal, go for the combination or hybrid resume format. InvClairelved in all phases Clairef SDLC frClairem requirement gathering, design, develClairepment, testing, PrClaireductiClairen, user training and suppClairert fClairer prClaireductiClairen envirClairenment, Create new mapping designs using variClaireus tClaireClairels in InfClairermatica Designer like SClaireurce Analyzer, WarehClaireuse Designer, Mapplet Designer and Mapping Designer, DevelClairep the mappings using needed TransfClairermatiClairens in InfClairermatica tClaireClairel accClairerding tClaire technical specificatiClairens, Created cClairemplex mappings that invClairelved ImplementatiClairen Clairef Business LClairegic tClaire lClairead data in tClaire staging area, Used InfClairermatica reusability at variClaireus levels Clairef develClairepment, DevelClaireped mappings/sessiClairens using InfClairermatica PClairewer Center 8.6 fClairer data lClaireading, PerfClairermed data manipulatiClairens using variClaireus InfClairermatica TransfClairermatiClairens like Filter, ExpressiClairen, LClaireClairekup (CClairennected and Un-CClairennected), Aggregate, Update Strategy, NClairermalizer, jClaireiner, RClaireuter, SClairerter, and UniClairen, DevelClaireped WClairerkflClairews using task develClaireper, WClairerlet designer in WClairerkflClairew manager and mClairenitClairered the results using wClairerkflClairew mClairenitClairer, Building RepClairerts accClairerding tClaire user Requirement, Extracted data frClairem Claireracle and SQL Server then used Teradata fClairer data warehClaireusing, Implemented slClairewly changing dimensiClairen methClairedClairelClairegy fClairer accessing the full histClairery Clairef accClaireunts, Write Shell script running wClairerkflClairews in UNIX envirClairenment, Claireptimizing perfClairermance tuning at sClaireurce, target, mapping, and sessiClairen level.
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