Experience in Microsoft Azure cloud components like Azure data factory (ADF), Azure blobs and azure data lakes and azure data bricks. Developed Logical and Physical data models that capture current state/future state data elements and data flows using Erwin 4.5. Created various Documents such as Source-to-Target Data mapping Document, and Unit Test Cases Document. Time traveled to 56 days to recover missed data. Enhancing performance by understanding when and how to leverage aggregate tables, materialized views, table partitions, indexes in Oracle database by using SQL/PLSQL queries and managing cache. Participates in the development improvement and maintenance of snowflake database applications. Dataflow design for new feeds from Upstream. Daily Stand-ups, pre-iteration meetings, Iteration planning, Backlog refinement, Demo calls, Retrospective calls. Extensively worked on writing JSON scripts and have adequate knowledge using APIs. Worked on logistics application to do shipment and field logistics of Energy and Utilities Client. Involved in the complete life cycle in creating SSIS packages, building, deploying, and executing the packages in both environments (Development and Production). BI Developer Resume Examples & Samples for 2023 - JobHero Extensive experience in creating BTEQ, FLOAD, MLOAD, FAST EXPORT and have good knowledge about TPUMP and TPT. Work with domain experts, engineers, and other data scientists to develop, implement, and improve upon existing systems. Designed and Created Hive external tables using shared Meta-store instead of derby with partitioning, dynamic partitioning and buckets. Participated in weekly status meeting and cClairenducting internal and external reviews as well as fClairermal walk thrClaireugh amClaireng variClaireus teams and dClairecumenting the prClaireceedings. Created ODI Models, Data stores, Projects, Package, Package, Variables, Scenarios, Functions, Mappings, Load Plans, Variables, Scenarios, Functions, Mappings, Load Plans. Experience in analyzing data using HiveQL, Participate in design meetings for creation of the Data Model and provide guidance on best data architecture practices. Involved in converting Hive/SQL quries into Spark transformation using Spark RDDs. Snowflake Cloud Data Engineer resume example Customize This Resume Terms of Use Privacy Policy Search for resumes by industry, job title or keyword. Designed and implemented a data archiving strategy that reduced storage costs by 30%. Ensured accuracy of data and reports, reducing errors by 30%. Designed the Dimensional Model of the Data Warehouse Confirmation of source data layouts and needs. Conducted ad-hoc analysis and provided insights to stakeholders. Developed and tuned all the Affiliations received from data sources using Oracle and Informatica and tested with high volume of data. Developed a data validation framework, resulting in a 15% improvement in data quality. Senior Data Engineer. Snowflake Unites the Data Cloud Ecosystem at Fifth-Annual User Designed and implemented a data retention policy, resulting in a 20% reduction in storage costs. Done analysis of Source, Requirements, existing OLTP system and identification of required dimensions and facts from the Database. Experience with Snowflake cloud data warehouse and AWS S3 bucket for continuous data load using Snowpipe. Build data pipelines in your preferred language. Converted user defined views from Netezza to Snowflake compatibility. Extensively used to azure data bricks for streaming the data. Developed Talend Bigdata jobs to load heavy volume of data into S3 data lake and then into Redshift data warehouse. 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. Talend MDM Designed and developed the Business Rules and workflow system. Download Snowflake Resume Format - Just Three Simple Steps: Click on the Download button relevant to your experience (Fresher, Experienced). We looked through thousands of Snowflake Developer resumes and gathered some examples of what the ideal experience section looks like. Cloud Technologies: Lyftron, AWS, Snowflake, RedshiftProfessional Experience, Software Platform & Tools: Talend, MDM, AWS, Snowflake, Bigdata, MS SQL Server 2016, SSIS, C#, Python, Sr. ETL Talend MDM, Snowflake Architect/Developer, Software Platform & Tools: Talend 6.x, MDM,AWS, Snowflake, Bigdata, Jasper, JRXML, Sybase 15.7, Sybase IQ 15.5, Sr. Talend, MDM,Snowflake Architect/Developer, Software Platform & Tools: Talend, MS Visio, MongoDB 3.2.1, ETL, Python, PyMongo, Python Bottle Framework, Java Script, Software Platform & Tools: Sybase, Unix Shell scripting, ESP scheduler, Perl, SSIS, Microsoft SQL server 2014, Software Platform & Tools: ETL, MFT, SQL Server 2012, MS Visio, Erwin, Software Platform & Tools: SQL Server 2007, SSRS, Perl, UNIX, ETL (Informatica), Dot Net(C#), Windows Services, Microsoft Visio, Talk to a Recruitment Specialist Call: (800) 693-8939, © 2023 Hire IT People, Inc. He Reviewed high-level design specification, ETL coding and mapping standards. Created different types of reports such as Pivot tables, Titles, Graphs and Filters etc. Created topologies (Data Server, Physical Architecture, Logical Architecture, Contexts) in ODI for Oracle databases and Files. Validating the data from Oracle Server to Snowflake to make sure it has Apple to Apple match. Handled the performance issues by creating indexes, aggregate tables and Monitoring NQSQuery and tuning reports. Designed and implemented efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Data Warehouse. Experience in Splunk repClairerting system. Excellent experience in integrating DBT cloud with Snowflake. Establishing the frequency of data, data granularity, data loading strategy i.e. Snowflake Developer Dallas, TX $50.00 - $60.00 Per Hour (Employer est.) Operating System: Windows, Linux, OS X 6 Cognizant Snowflake Developer Interview Questions 2023 Careers - Senior Snowflake Consultant | Senturus Monday to Friday + 1. The recruiter needs to be able to contact you ASAP if they want to offer you the job. Strong experience in migrating other databases to Snowflake. 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. Created ETL design docs, Unit, Integrated and System test cases. Developed Mappings, Sessions, and Workflows to extract, validate, and transform data according to the business rules using Informatica. 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. ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake. Informatica Developer Resume Samples. Developed snowflake procedures for executing branching and looping. Expertise in develClaireping SQL and PL/SQL cClairedes thrClaireugh variClaireus PrClairecedures/FunctiClairens, Packages, CursClairers and Triggers tClaire implement the business lClairegics fClairer database. Develop transformation logics using Snowpipe for continuous data loads. Extensive experience in developing complex stored Procedures/BTEQ Queries. Suitable data model, and develop metadata for the Analytical Reporting. Created SQL/PLSQL procedure in oracle database. DevelClaireped ETL prClairegrams using infClairermatica tClaire implement the business requirements, CClairemmunicated with business custClairemers tClaire discuss the issues and requirements, Created shell scripts tClaire fine tune the ETL flClairew Clairef the InfClairermatica wClairerkflClairews, Used InfClairermatica file watch events tClaire pClairele the FTP sites fClairer the external mainframe files, PrClaireductiClairen suppClairert has been dClairene tClaire resClairelve the ClairengClaireing issues and trClaireubleshClaireClairet the prClaireblems, PerfClairermance SuppClairert has been dClairene at the functiClairenal level and map level, Used relatiClairenal SQL wherever pClairessible tClaire minimize the data transfer Clairever the netwClairerk, Effectively used the InfClairermatica parameter files fClairer defining mapping variables, FTP cClairennectiClairens and relatiClairenal cClairennectiClairens, InvClairelved in enhancements and maintenance activities Clairef the data warehClaireuse including tuning, mClairedifying Clairef the stClairered prClairecedures fClairer cClairede enhancements, Effectively wClairerked in infClairermatica versiClairen-based envirClairenment and used deplClaireyment grClaireups tClaire migrate the Clairebjects, Used debugger in identifying bugs in existing mappings by analyzing data flClairew, evaluating transfClairermatiClairens, Effectively wClairerked Clairen Clairensite and ClaireffshClairere wClairerk mClairedel, Pre and PClairest assignment variables were used tClaire pass the variable values frClairem Clairene sessiClairen tClaire anClairether, Designed wClairerkflClairews with many sessiClairens with decisiClairen, assignment task, event wait, and event raise tasks, used infClairermatica scheduler tClaire schedule jClairebs, Reviewed and analyzed functiClairenal requirements, mapping dClairecuments, prClaireblem sClairelving and trClaireuble shClaireClaireting, PerfClairermed unit testing at variClaireus levels Clairef ETL and actively invClairelved in team cClairede reviews, Identified prClaireblems in existing prClaireductiClairen and develClaireped Clairene-time scripts tClaire cClairerrect them. Experience with Snowflake cloud-based data warehouse. Sort by: relevance - date. Experience in pythClairen prClairegramming in data transfClairermatiClairen type activities. Created clone objects to maintain zero-copy cloning. Used COPY to bulk load the data. Manage cloud and on-premises solutions for data transfer and storage, Develop Data Marts using Snowflake and Amazon AWS, Evaluate Snowflake Design strategies with S3 (AWS), Conduct internal meetings with various teams to review business requirements. Closely worked with different insurance payers Medicare, Medicaid, Commercial payers like Blue Cross BlueShield, Highmark, and Care first to understand business nature. Impact analysis for business enhancements and modifications. Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale. Involved in implementing different behaviors of security according to business requirements. Resolve open issues and concerns as discussed and defined by BNYM management. Used debugger to debug mappings to gain troubleshooting information about data and error conditions. Involved in fixing various issues related to data quality, data availability and data stability. Check the Snowflake Developer job description for inspiration. Customized reports by adding Filters, Calculations, Prompts, Summaries and Functions, Created Parameterized Queries, generated Tabular reports, sub-reports, Cross Tabs, Drill down reports using Expressions, Functions, Charts, Maps, Sorting the data, Defining Data sources and Subtotals for the reports. Design dimensional model, data lake architecture, data vault 2.0 on Snowflake and used Snowflake logical data warehouse for compute. Reporting errors in error tables to client, rectifying known errors and re-running scripts. Neo4j architecture, Cipher Query Language, Graph Data modelling, Indexing. Ability to write SQL queries against Snowflake. Develop stored procedures/views in Snowflake and use in Talend for loading Dimensions and Facts. Built and maintained data warehousing solutions using Redshift, enabling faster data access and improved reporting capabilities. Working with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments. Strong experience with ETL technologies and SQL. Document, Column, Key-Value and Graph databases. Data Engineer (snowflake Developer) Resume Example Designed and developed a new ETL process to extract and load Vendors from Legacy System to MDM by using the Talend Jobs. Easy Apply 3d Strong experience with Snowflake design and development. $130,000 - $140,000 a year. Involved in monitoring the workflows and in optimizing the load times. Used Toad to verify the counts and results of the graphs and Tuning of Ab Initio graphs for better performance. Eligible Senior ETL Developer Resume displays skills and qualifications such as a broad technical knowledge, analytical mind, good communication and job core skills like good coding language grip, familiarity with coding languages and data warehouse architecture techniques. Have excellent quality of adapting to latest technology with analytical, logical and innovative knowledge to provide excellent software solutions. Involved in production moves. 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. 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. Developed and optimized complex SQL queries and stored procedures to extract insights from large datasets. Use these power words and make your application shine! Postman Tutorial for the Snowflake SQL API Build an Image Recognition App Build a Custom API in Python on AWS Data Pipelines reports validation, job re-runs. Observed the usage of SI, JI, HI, PI, PPI, MPPI and compression on various tables. Sr. Snowflake Developer Resume - Hire IT People - We get IT done Performance tuning of Big Data workloads. Strong knowledge of SDLC (viz. Develop transformation logic using snowpipeline. Developed Talend MDM jobs to populate the claims data to data warehouse - star schema, snowflake schema, Hybrid Schema. List your positions in chronological or reverse-chronological order; Include information about the challenges youve faced, the actions youve taken, and the results youve achieved; Use action verbs instead of filler words. 3. Designed new database tables to meet business information needs. Experience with Snowflake SnowSQL and writing use defined functions. Created internal and external stage and t ransformed data during load. Experience on working various distributions of Hadoop like CloudEra, HortonWorks and MapR. Snowflake Developer. Actively participated in all phases of the testing life cycle including document reviews and project status meetings. Used Avro, Parquet and ORC data formats to store in to HDFS. Constructing the enhancements in Ab Initio, UNIX and Informix. Performance tuning of slow running queries and stored procedures in Sybase ASE. Created ODI interfaces, functions, procedures, packages, variables, scenarios to migrate the data. Involved in performance monitoring, tuning, and capacity planning. Worked on various kinds of transformations like Expression, Aggregator, Stored Procedure, Java, Lookup, Filter, Joiner, Rank, Router, and Update Strategy. Good understanding of SAP ABAP. Estimated $145K - $183K a year. Have good knowledge and experience on Matillion tool. Strong Accounting knowledge of Cash Flow, Income Statements, Balance Sheet and ratio analysis. Extracted the data from azure blobs to Snowflake. DBMS: Oracle,SQL Server,MySql,Db2 BI Publisher reports development; render the same via BI Dashboards. MongoDB installation and configuring three nodes Replica set including one arbiter. Experience in using SnowflakeCloneandTime Travel. Created Different types of reports including Union and Merged and prompts in answers and created the Different dashboards. Used sandbox parameters to check in and checkout of graphs from repository Systems. SClairelid experience in DimensiClairenal Data mClairedeling, Star Schema/SnClairewflake mClairedeling, Fact & DimensiClairenal tables, Physical & LClairegical data mClairedeling, Claireracle Designer, Data integratClairer. Launch Alert https://lnkd.in/gCePgc7E Calling all Snowflake developers, data scientists, and ML engineers! Used UNIX scripting and Scheduled PMCMD tClaire interact with infClairermatica Server. Served as a liaison between third-party vendors, business owners, and the technical team. ETL TClaireClairels: InfClairermatica PClairewer Center 10.4/10.9/8.6/7.13 MuleSClaireft, InfClairermatica PClairewer Exchange, InfClairermatica data quality (IDQ). Download your resume, Easy Edit, Print it out and Get it a ready interview! Involved in creating test cases after carefully reviewing the Functional and Business specification documents. Full-time. Snowflake Developers Snowflake Data Warehouse Developer at San Diego, CA Implemented usage tracking and created reports. 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. Assisting in web design to access the data via web browser using Python, Pymongo and Bottle framework. Worked with Kimball's Data Modeling concepts including data modeling, data marts, dimensional modeling, star and snowflake schema, fact aggregation and dimension tables .
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