Developed Talend ETL jobs to push the data into Talend MDM and develop the jobs to extract the data from MDM. Involved in converting Hive/SQL quries into Spark transformation using Spark RDDs. Created tasks to run SQL queries and Stored procedures. Created Different types of reports including Union and Merged and prompts in answers and created the Different dashboards. Change Coordinator role for End-to-End delivery i.e. Sr. Snowflake Developer Resume - Hire IT People - We get IT done We provide IT Staff Augmentation Services! Q: Explain Snowflake Cloud Data Warehouse. Created various Reusable and Non-Reusable tasks like Session. Actively participated in all phases of the testing life cycle including document reviews and project status meetings. Creating Repository and designing physical and logical star schema. Bulk loading from the external stage (AWS S3), internal stage to snowflake cloud using the COPY command. Establishing the frequency of data, data granularity, data loading strategy i.e. Develop transformation logic using snowpipeline. 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. Tested Standard and ad-hoc SQL Server reports and compared the results against the database by writing SQL Queries. Involved in the complete life cycle in creating SSIS packages, building, deploying, and executing the packages in both environments (Development and Production). Duties shown on sample resumes of BI Developers include designing reports based on business requirements while using SSRS, designing ETL loads to load data into the reporting database using SSIS, and creating stored procedures and functions required to extract data for the load. Reviewed high-level design specification, ETL coding and mapping standards. Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. Privacy policy Ability to write SQL queries against Snowflake. Strong Experience in Business Analysis, Data science and data analysis. 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. The point of listing skills is for you to stand out from the competition. Worked on logistics application to do shipment and field logistics of Energy and Utilities Client. Excellent knowledge of Data Warehousing Concepts. Snowflake Developers. Build ML workflows with fast data access and data processing. Responsible for various DBA activities such as setting up access rights and space rights for Teradata environment. Good knowledge on Unix shell scriptingKnowledge on creating various mappings, sessions and Workflows. Worked with Kimball's Data Modeling concepts including data modeling, data marts, dimensional modeling, star and snowflake schema, fact aggregation and dimension tables . Here are a few tweaks that could improve the score of this resume: 2023, Bold Limited. Involved in the enhancement of the existing logic in the procedures. Used COPY to bulk load the data from S3 to tables, Created data sharing between two snowflake accounts (PRODDEV). What feature in Snowflake's architecture and pricing model set is apart from other competitors. Participated in sprint calls, worked closely with manager on gathering the requirements. Implemented Change Data Capture technology in Talend in order to load deltas to a Data Warehouse. Designed and implemented a data archiving strategy that reduced storage costs by 30%. Trained in all the Anti money laundering Actimize components of Analytics Intelligence Server (AIS) and Risk Case Management (RCM), ERCM and Plug-in Development. ETL Tools: Talend MDM 7.1/6.x/5.x, Informatica 7x/8x, SSIS, Lyftron, Big Data Technologies: Hadoop ecosystem, Spark, HDFS, Map Reduce, Hive, PIG, Sqoop, NOSQL, Reporting Tools: Business Objects XI R2, Cognos8.x/7.x, Micro strategy and MS Access Reports, Operating System: Windows NT/XP, UNIX. Designing new reports in Jasper using tables, charts and graphs, crosstabs, grouping and sorting. 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. $111,000 - $167,000 a year. 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. Worked on HP Quality Center (QC)/Application Life Cycle Management (ALM) testing technology to test System. Full-time. Build dimensional modelling, data vault architecture on Snowflake. 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. Created different types of reports such as Pivot tables, Titles, Graphs and Filters etc. Created Talend Mappings to populate the data into dimensions and fact tables. Implemented data intelligence solutions around Snowflake Data Warehouse. Provided the Report Navigation and dashboard Navigations. Responsible for Unit, System and Integration testing and performed data validation for all the reports that are generated. Created Logical Schemas, Logical measures and hierarchies in BMM layer in RPD. Experience on working various distributions of Hadoop like CloudEra, HortonWorks and MapR. MLOps Engineer with Databricks Experience Competence Skills Private Limited Extensively involved in new systems development with Oracle 6i. Writing Tuned SQL queries for data retrieval involving Complex Join Conditions. Experience in various data ingestion patterns to hadoop. Evaluate SnClairewflake Design cClairensideratiClairens fClairer any change in the applicatiClairen, Build the LClairegical and Physical data mClairedel fClairer snClairewflake as per the changes required, Define rClaireles, privileges required tClaire access different database Clairebjects, Define virtual warehClaireuse sizing fClairer SnClairewflake fClairer different type Clairef wClairerklClaireads, Design and cClairede required Database structures and cClairempClairenents, WClairerked Clairen Claireracle Databases, Redshift and SnClairewflakes, WClairerked with clClaireud architect tClaire set up the envirClairenment, LClairead data intClaire snClairewflake tables frClairem the internal stage using SnClairewSQL. Produce and/or review the data mapping documents. Or else, theyll backfire and make you look like an average candidate. Experience in using Snowflake zero copy Clone, SWAP, Time Travel and Different Table types. Optimized the SQL/PLSQL jobs and redacted the jobs execution time. Did error handling and performance tuning for long running queries and utilities. Having experience in Snowflake cloud data warehousing shared technology environment for providing stable infrastructure, architecture, best practices, secured environment, reusable generic frameworks, robust design architecture, technology expertise, best practices and automated SCBD (Secured Database Connections, Code Review, Build Process, Deployment Process) utilities. Experience with Snowflake SnowSQL and writing use defined functions. 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. This is why you must provide your: The work experience section is an important part of your data warehouse engineer resume. Experience in ETL pipelines in and out of data warehouses using a combination of Python and Snowflakes SnowSQL to Extract, Load and Transform data, then writing SQL queries against Snowflake. Built python and SQL scripts for data processing in Snowflake, Automated the Snowpipe to load the data from Azure cloud to Snowflake. Waterfall, Agile, Scrum) and PMLC. and created different dashboards. Q3. Handled the ODI Agent with Load balancing features. Integrated java code inside Talend studio by using components like tJavaRow, tJava, tJavaFlex and Routines. Extensively used Talend BigData components like tRedshiftinput, tRedshiftOutput, thdfsexist, tHiveCreateTable, tHiveRow, thdfsinput, thdfsoutput, tHiveload, tS3put, tS3get. Responsible for design and build data mart as per the requirements. Define virtual warehouse sizing for Snowflake for different type of workloads. Experience in data architecture technologies across cloud platforms e.g. Performed data quality analysis using SnowSQL by building analytical warehouses on Snowflake. Expertise in the deployment of the code from lower to higher environments using GitHub. Taking care of Production runs and Prod data issues. $116,800 - $214,100 a year. Expertise with MDM, Dimensional Modelling, Data Architecture, Data Lake & Data Governance. Involved in Data migration from Teradata to snowflake. Developed and maintained data pipelines for ETL processes, resulting in a 15% increase in efficiency. Stored procedures and database objects (Tables, views, triggers etc) development in Sybase 15.0 related to regulatory changes. Experience in querying External stages (S3) data and load into snowflake tables. BI Publisher reports development; render the same via BI Dashboards. Unit tested the data between Redshift and Snowflake. Expertise in architecture, design and operation of large - scale data and analytics solutions on Snowflake Cloud. Realtime experience with lClaireading data intClaire AWS clClaireud, S2 bucket thrClaireugh infClairermatiClairen. Observed the usage of SI, JI, HI, PI, PPI, MPPI and compression on various tables. Implemented a data partitioning strategy that reduced query response times by 30%. Design dimensional model, data lake architecture, data vault 2.0 on Snowflake and used Snowflake logical data warehouse for compute. Developed complex ETL jobs from various sources such as SQL server, Postgressql and other files and loaded into target databases using Talend ETL tool. Built and maintained data warehousing solutions using Snowflake, allowing for faster data access and improved reporting capabilities. Worked on Snowflake Shared Technology Environment for providing stable infrastructure, secured environment, reusable generic frameworks, robust design architecture, technology expertise, best practices and automated SCBD (Secured Database Connections, Code Review, Build Process, Deployment Process) utilities, Worked on Snowflake Schemas and Data Warehousing. Used Talend big data components like Hadoop and S3 Buckets and AWS Services for redshift. applies his deep knowledge and experience to write about career Created tables and views on Snowflake as per the business needs. Performed file, detail level validation and also tested the data flown from source to target. 23 jobs. Environment: OBIEE 11G, ODI -11g, Window 2007 Server, Agile, Oracle (SQL/PLSQL), Environment: Oracle BI EE (11g), ODI 11g, Windows 2003, Oracle 11g (SQL/PLSQL), Environment: Oracle BI EE 10g, Windows 2003, DB2, Environment: Oracle BI EE 10g, Informatica, Windows 2003, Oracle 10g, Talk to a Recruitment Specialist Call: (800) 693-8939, © 2023 Hire IT People, Inc. Constructing the enhancements in Ab Initio, UNIX and Informix. Sr. Snowflake Developer Resume 2.00 /5 (Submit Your Rating) Charlotte, NC Hire Now SUMMARY: 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 Created RPD and Implemented different types of Schemas in the physical layer as per requirement. Used various SSIS tasks such as Conditional Split, Multicast, Fuzzy Lookup, Slowly Changing Dimension etc., which did Data Scrubbing, including data validation checks during Staging, before loading the data into the Data warehouse from Flat Files, Excel and XML Files. Programming Languages: Scala, Python, Perl, Shell scripting. Q1. 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. Looking for ways to perfect your Snowflake Developer resume layout and style? Designed new database tables to meet business information needs. Jpmorgan Chase & Co. - Alhambra, CA. Involved in creating new stored procedures and optimizing existing queries and stored procedures. Extensively worked on Views, Stored Procedures, Triggers and SQL queries and for loading the data (staging) to enhance and maintain the existing 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. Snowflake Developer. Used Avro, Parquet and ORC data formats to store in to HDFS. Operationalize data ingestion, data transformation and data visualization for enterprise use. Built a data validation framework, resulting in a 20% improvement in data quality. Mentor and train junior team members and ensure coding standard is followed across the project. Help talent acquisition team in hiring quality engineers. Splitting bigger files based on the record count by using split function in AWS S3. Migrated mappings from Development to Testing and from Testing to Production. Developed and maintained data models using ERD diagrams and implemented data warehousing solutions using Snowflake. Extensively used to azure data bricks for streaming the data. Designing the database reporting for the next phase of the project. Keep it short and use well-structured sentences; Mention your total years of experience in the field and your #1 achievement; Highlight your strengths and relevant skills; Add keywords from the companys website or the job description. Used ETL to extract files for the external vendors and coordinated that effort. Performance monitoring and Optimizing Indexes tasks by using Performance Monitor, SQL Profiler, Database Tuning Advisor and Index tuning wizard. "Snowflake Summit is the data event of the year, and we have a unique opportunity to unite the entire Data Cloud ecosystem and empower our customers, partners, and data experts to collaborate and . Cloud Technologies: Snowflake, AWS. Worked on various kinds of transformations like Expression, Aggregator, Stored Procedure, Java, Lookup, Filter, Joiner, Rank, Router, and Update Strategy. Remote in San Francisco, CA. Snowflake Developer ABC Corp 01/2019 Present Developed a real-time data processing system, reducing the time to process and analyze data by 50%. Worked on MDM modeling through MDM perspective through Talend 5.5.1 suite and developed jobs to push data to MDM. Creating interfaces and mapping between source and target objects in interface. Unless specifically stated otherwise, such references are not intended to imply any affiliation or association with LiveCareer. Senior Snowflake developer with 10+ years of total IT experience and 5+ years of experience with Snowflake. Developing ETL pipelines in and out of data warehouse using Snowflake, SnowSQL Writing SQL queries against Snowflake, Loaded real time streaming data using Snow pipe to Snowflake, Implemented the functions and procedures in snowflake, Extensively worked on Scale out, Scale up and scale down scenarios of Snowflake. When picking skills to feature in your resume, make sure they'll be relevant to the position youre applying to. Implemented Change Data Capture (CDC) feature ofODI to refresh the data in Enterprise Data Warehouse (EDW). Well versed with Snowflake features like clustering, time travel, cloning, logical data warehouse, caching etc. Deploying codes till UAT by creating tag and build life. Database objects design including stored procedure, triggers, views, constrains etc. Develop & sustain innovative, resilient and developer focused AWS eco-system( platform and tooling). Data warehouse experience in Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD) techniques etc. 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. Analysing the input data stream and mapping it with the desired output data stream. Used sandbox parameters to check in and checkout of graphs from repository Systems. Progressive experience in the field of Big Data Technologies, Software Programming and Developing, which also includes Design, Integration, Maintenance. ! . 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. Worked with Various HDFS file formats like Avro, Sequence File and various compression formats like snappy, Gzip. Full-time. Done analysis of Source, Requirements, existing OLTP system and identification of required dimensions and facts from the Database. Developed Talend MDM jobs to populate the claims data to data warehouse - star schema, snowflake schema, Hybrid Schema. Extensive Knowledge on Informatica PowerCenter 9.x/8.x/7.x (ETL) for Extract, Transform and Loading of data from multiple data sources to Target Tables. Created Snowpipe for continuous data load. Experience in working with (HP QC) for finding defects and fixing the issues. Implemented Data Level and Object Level Securities. 8 Tableau Developer Resume Samples for 2023 Stephen Greet March 20, 2023 You can manage technical teams and ensure projects are on time and within budget to deliver software that delights end-users. Heavily invClairelved in testing SnClairewflake tClaire understand best pClairessible ways tClaire use the clClaireud resClaireurces. Create and maintain different types of Snowflake objects like transient, temp and permanent. Strong experience with ETL technologies and SQL. Provided the Report Navigation and dashboard Navigations by using portal page navigations. SClairelid experience in DimensiClairenal Data mClairedeling, Star Schema/SnClairewflake mClairedeling, Fact & DimensiClairenal tables, Physical & LClairegical data mClairedeling, Claireracle Designer, Data integratClairer. For long running scripts, queries identifying join strategies, issues, bottlenecks and implementing appropriate performance tuning methods. Designing ETL jobs in SQL Server Integration Services 2015. Writing SQL queries against Snowflake. | 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, Hire IT Global, Inc - LCA Posting Notices. Co-ordinating the design and development activities with various interfaces like Business users, DBAs etc. Used spark-sql to create Schema RDD and loaded it into Hive Tables and handled structured data using Spark SQL. 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. Creating Reports in Looker based on Snowflake Connections, Experience in working with AWS, Azure and Google data services. Designed, deployed, and maintained complex canned reports using SQL Server 2008 Reporting Services (SSRS). Used Temporary and Transient tables on diff datasets. Experience with Power BI - modeling and visualization. . Developed a data validation framework, resulting in a 15% improvement in data quality.
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