snowflake developer resume

Designed high level ETL/MDM/Data Lake architecture for overall data transfer from the OLTP to OLAP with the help of multiple ETL/MDM tools and also prepared ETL mapping processes and maintained the mapping documents. Created Logical Schemas, Logical measures and hierarchies in BMM layer in RPD. Developed and optimized complex SQL queries and stored procedures to extract insights from large datasets. change, development, and how to stand out in the job application In-depth knowledge on Snow SQL queries and working with Teradata SQL, Oracle, PL/SQL. Use these power words and make your application shine! Loading data into snowflake tables from the internal stage using snowsql. Environment: OBI EE 11G, OBI Apps 7.9.6.3, Informatica 7, DAC 7.9.6.3, Oracle 11G (SQL/PLSQL), Windows 2008 Server. Experience in using Snowflake zero copy Clone, SWAP, Time Travel and Different Table types. Database objects design including Stored procedure, triggers, views, constrains etc. Reporting errors in error tables to client, rectifying known errors and re-running scripts. Informatica developers are also called as ETL developers. Looking for ways to perfect your Snowflake Developer resume layout and style? Ultimately, the idea is to show youre the perfect fit without putting too much emphasis on your work experience (or lack thereof). Implemented Snowflake data warehouse for a client, resulting in a 30% increase in query performance, Migrated on-premise data to Snowflake, reducing query time by 50%, Designed and developed a real-time data pipeline using Snowpipe to load data from Kafka with 99.99% reliability, Built and optimized ETL processes to load data into Snowflake, reducing load time by 40%, Designed and implemented data pipelines using Apache NiFi and Airflow, processing over 2TB of data daily, Developed custom connectors for Apache NiFi to integrate with various data sources, increasing data acquisition speed by 50%, Collaborated with BI team to design and implement data models in Snowflake for reporting purposes, Reduced ETL job failures by 90% through code optimizations and error handling improvements, Reduced data processing time by 50% by optimizing Snowflake performance and implementing parallel processing, Built automated data quality checks using Snowflake streams and notifications, resulting in a 25% reduction in data errors, Implemented Snowflake resource monitor to proactively identify and resolve resource contention issues, leading to a 30% reduction in query failures, Designed and implemented a Snowflake-based data warehousing solution that improved data accessibility and reduced report generation time by 40%, Collaborated with cross-functional teams to design and implement a data governance framework, resulting in improved data security and compliance, Implemented a Snowflake-based data lake architecture that reduced data processing costs by 30%, Developed and maintained data quality checks and data validation processes, reducing data errors by 20%, Designed and implemented a real-time data processing pipeline using Apache Spark and Snowflake, resulting in faster data insights and improved decision-making, Collaborated with business analysts and data scientists to design and implement scalable data models using Snowflake, resulting in improved data accuracy and analysis, Implemented a data catalog using Snowflake metadata tables, resulting in improved data discovery and accessibility. Created Different types of reports including Union and Merged and prompts in answers and created the Different dashboards. Extensive experience with shell scripting in the UINX EnvirClairenment. Created ODI interfaces, functions, procedures, packages, variables, scenarios to migrate the data. Participated in daily Scrum meetings and weekly project planning and status sessions. Extensively used SQL (Inner joins, Outer Joins, subqueries) for Data validations based on the business requirements. Best Wishes From MindMajix Team!! Privacy policy Designed ETL process using Talend Tool to load from Sources to Targets through data Transformations. BI Publisher reports development; render the same via BI Dashboards. Postproduction validations like code and data loaded into tables after completion of 1st cycle run. Senior Data Engineer. Worked in industrial agile software development process i.e. Created Views and Alias tables in physical Layer. Realtime experience with lClaireading data intClaire AWS clClaireud, S2 bucket thrClaireugh infClairermatiClairen. Strong experience with ETL technologies and SQL. Clear understanding of Snowflakes advanced concepts like virtual warehouses, query performance using micro- partitions and Tuning. Design dimensional model, data lake architecture, data vault 2.0 on Snowflake and used Snowflake logical data warehouse for compute. Daily Stand-ups, pre-iteration meetings, Iteration planning, Backlog refinement, Demo calls, Retrospective calls. Created Oracle BI Answers requests, Interactive Dashboard Pages and Prompts. Designed and implemented efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Data Warehouse. Created and scheduled iBots using delivers to send alerts, run reports, and deliver reports to the users. Loaded the data from Azure data factory to Snowflake. Involved in fixing various issues related to data quality, data availability and data stability. 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. Created Data acquisition and Interface System Design Document. applies his deep knowledge and experience to write about career Used COPY, LIST, PUT and GET commands for validating the internal stage files. High level data design including the database size, data growth, data backup strategy, data security etc. Very good knowledge of RDBMS topics, ability to write complex SQL, PL/SQL, Evaluate Snowflake Design considerations for any change in the application, Design and code required Database structures and components. Have good knowledge on Core Python scripting. ETL development using Informatica powercenter designer. Preparing data dictionary for the project, developing SSIS packages to load data in the risk database. StrClaireng experience in wClairerking with ETL InfClairermatica (10.4/10.9/8.6/7.13) which includes cClairempClairenents InfClairermatica PClairewerCenter Designer, WClairerkflClairew manager, WClairerkflClairew mClairenitClairer, InfClairermatica server and RepClairesitClairery Manager. Consulting on Snowflake Data Platform Solution Architecture, Design, Development and deployment focused to bring the data driven culture across the enterprises. Built python and SQL scripts for data processing in Snowflake, Automated the Snowpipe to load the data from Azure cloud to Snowflake. Maintain and support existing ETL/MDM jobs and resolve issues. Used COPY to bulk load the data from S3 to tables, Created data sharing between two snowflake accounts (PRODDEV). Change Coordinator role for End-to-End delivery i.e. Impact analysis for business enhancements and modifications. WClairerk with multiple data sClaireurces. Delivering and implementing the project as per scheduled deadlines; extending post-implementation and maintenance support to the technical support team and client. Independently evaluate system impacts and produce technical requirement specifications from provided functional specifications. Enabled analytics teams and users into the Snowflake environment. DataWarehousing: Snowflake Teradata Used import and Export from the internal stage (snowflake) from the external stage (AWS S3). Created different types of tables in Snowflake like Transient tables, Permanent tables and Temporary tables. Extensive experience in creating complex views to get the data from multiple tables. Extracted the data from azure blobs to Snowflake. Worked on MDM modeling through MDM perspective through Talend 5.5.1 suite and developed jobs to push data to MDM. StrClaireng experience in ExtractiClairen, TransfClairermatiClairen and LClaireading (ETL) data frClairem variClaireus sClaireurces intClaire Data warehClaireuses and Data Marts using InfClairermatica PClairewer Center (RepClairesitClairery Manager, Designer, WClairerkflClairew Manager, WClairerkflClairew MClairenitClairer, Metadata Manager), PClairewer Exchange, PClairewer CClairennect as ETL tClaireClairel Clairen Claireracle, DB2 and SQL Server Databases. Involved in various Transformation and data cleansing activities using various Control flow and data flow tasks in SSIS packages during data migration. 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. In general, there are three basic resume formats we advise you to stick with: Choosing between them is easy when youre aware of your applicant profile it depends on your years of experience, the position youre applying for, and whether youre looking for an industry change or not. Snowflake Developers. Strong Accounting knowledge of Cash Flow, Income Statements, Balance Sheet and ratio analysis. Developed data validation rule in the Talend MDM to confirm the golden record. Data warehouse experience in Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD) techniques etc. Responsible for implementation of data viewers, Logging, error configurations for error handling the packages. Created internal and external stage and transformed data during load. Security configuration in web logic server and both at Repository level and Webcat level. Snowflake Cloud Data Engineer resume example Customize This Resume Terms of Use Privacy Policy Search for resumes by industry, job title or keyword. Snowflake Developer Job Description Technical and Professional Requirements- Minimum 3 years of experience in developing software applications including: analysis, design, coding, testing, deploying and supporting of applications. Involved in creating new stored procedures and optimizing existing queries and stored procedures. Remote in San Francisco, CA. Sr. Snowflake Developer Resume - Hire IT People - We get IT done We provide IT Staff Augmentation Services! Expertise in developing Physical layer, BMM Layer and Presentation layer in RPD. Extensive experience in developing complex stored Procedures/BTEQ Queries. Experience with Snowflake cloud data warehouse and AWS S3 bucket for continuous data load using Snowpipe. Converted Talend Joblets to support the snowflake functionality. Created reports on Meta base to see the Tableau impact on Snowflake in terms of cost. Cloned Production data for code modifications and testing. Volen Vulkov is a resume expert and the co-founder of Enhancv. Pappas and Snowflake evangelist Kent Grazianoa former data architect himselfteamed up to review the resume and offer comments on how both the candidate and the hiring company might improve their chances. Created roles and access level privileges and taken care of Snowflake Admin Activity end to end. Sr. Snowflake Developer Resume 0 /5 (Submit Your Rating) NJ Hire Now SUMMARY Have around 8 years of IT experience in Data Architecture, Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions using Snowflake, Teradata, Matillion, Ab Initio and AWS S3. 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. Designing ETL jobs in SQL Server Integration Services 2015. Proficient in creating and managing Dashboards, Reports and Answers. Created the new measurable columns in the BMM layer as per the Requirement. Collaborated with the Functional Team and stakeholders to bring form and clarity to a multitude of data sources, enabling data to be displayed in a meaningful, analytic manner. IDEs: Eclipse,Netbeans. Tuning the slow running stored procedures using effective indexes and logic. Fixed the invalid mappings and trClaireubleshClaireClairet the technical prClaireblems Clairef the database. Strong Knowledge of BFS Domain including Equities, Fixed Income, Derivatives, Alternative Investments, Benchmarking etc. SClairelid experience in DimensiClairenal Data mClairedeling, Star Schema/SnClairewflake mClairedeling, Fact & DimensiClairenal tables, Physical & LClairegical data mClairedeling, Claireracle Designer, Data integratClairer. Used sandbox parameters to check in and checkout of graphs from repository Systems. Experience in Splunk repClairerting system. Its great for applicants with lots of experience, no career gaps, and little desire for creativity. Define virtual warehouse sizing for Snowflake for different type of workloads. 3. Extensively worked on Views, Stored Procedures, Triggers and SQL queries and for loading the data (staging) to enhance and maintain the existing functionality. Work Experience Data Engineer Developed data warehouse model in snowflake for over 100 datasets using whereScape. Database: Oracle 9i/10g, 11g, SQL Server 2008/2012, DB2, Teradata, Netezza, AWS Redshift, Snowflake. Involved in the complete life cycle in creating SSIS packages, building, deploying, and executing the packages in both environments (Development and Production). Amazon AWS, Microsoft Azure, OpenStack, etc. Created data sharing between two snowflake accounts (ProdDev). Writing Tuned SQL queries for data retrieval involving Complex Join Conditions. Building business logic in stored procedure to extract data in XML format to be fed to Murex systems. Used the Different Levels of Aggregate Dimensional tables and Aggregate Fact tables. Participated in gathering the business requirements, analysis of source systems, design. Responsible for various DBA activities such as setting up access rights and space rights for Teradata environment. Working with Traders and Business analyst to finalize the requirements. Design, develop, test, implement and support of Data Warehousing ETL using Talend. Developed the repository model for the different work streams with the necessary logic that involved creating the Physical, BMM and the Presentation layer.

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