130 jobs. Responsible for monitoring sessions that are running, scheduled, completed and failed. Design and developed end-to-end ETL process from various source systems to Staging area, from staging to Data Marts and data load. Built a data validation framework, resulting in a 20% improvement in data quality. Have good knowledge on Snowpipe and SnowSQL. 6 Cognizant Snowflake Developer Interview Questions 2023 Worked on various kinds of transformations like Expression, Aggregator, Stored Procedure, Java, Lookup, Filter, Joiner, Rank, Router, and Update Strategy. Download Snowflake Resume Format - Just Three Simple Steps: Click on the Download button relevant to your experience (Fresher, Experienced). Sort by: relevance - date. Created roles and access level privileges and taken care of Snowflake Admin Activity end to end. 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. Programming Languages: Scala, Python, Perl, Shell scripting. Deploy various reports on SQL Server 2005 Reporting Server, Installing and Configuring SQL Server 2005 on Virtual Machines, Migrated hundreds of Physical Machines to Virtual Machines, Conduct System Testing and functionality after virtualization. Fixed the SQL/PLSQL loads whenever scheduled jobs are failed. Worked on SnowSQL and Snowpipe, loaded data from heterogeneous sources to Snowflake, Loaded real time streaming data using Snowpipe to Snowflake, Extensively worked on Scaleout and Scale down scenarios of Snowflake. Used Toad to verify the counts and results of the graphs and Tuning of Ab Initio graphs for better performance. Loading data into snowflake tables from the internal stage using snowsql. Have good Knowledge in ETL and hands on experience in ETL. Servers: Apache Tomcat Writing complex snowsql scripts in snowflake cloud data warehouse to business analysis and reporting. Designed and developed a new ETL process to extract and load Vendors from Legacy System to MDM by using the Talend Jobs. Expertise in the deployment of the code from lower to higher environments using GitHub. The recruiter needs to be able to contact you ASAP if they want to offer you the job. 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. Conducted ad-hoc analysis and provided insights to stakeholders. (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. Data moved from Oracle AWS snowflake internal stageSnowflake with copy options. Unit tested the data between Redshift and Snowflake. High level data design including the database size, data growth, data backup strategy, data security etc. Performance tuning of slow running queries and stored procedures in Sybase ASE. Privacy policy Realtime experience with lClaireading data intClaire AWS clClaireud, S2 bucket thrClaireugh infClairermatiClairen. More. DataWarehousing: Snowflake Teradata Snowflake Unites the Data Cloud Ecosystem at Fifth-Annual User For long running scripts, queries identifying join strategies, issues, bottlenecks and implementing appropriate performance tuning methods. . 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. Splitting bigger files based on the record count by using split function in AWS S3. Created Different types of reports including Union and Merged and prompts in answers and created the Different dashboards. Created and managed Dashboards, Reports and Answers. Data Engineer Snowflake Developer resume example - livecareer Get started quickly with Snowpark for data pipelines and Python with an automated setup. Experience with command line tool using Snow SQL to put the files in different staging area and run SQL commands. Dashboard: Elastic Search, Kibana. Jpmorgan Chase & Co. - Alhambra, CA. Role: "Snowflake Data Warehouse Developer" Location: San Diego, CA Duration: Permanent Position (Fulltime) Job Description: Technical / Functional Skills 1. Creating Reports in Looker based on Snowflake Connections, Experience in working with AWS, Azure and Google data services. Data validations have been done through information_schema. Implemented different Levels of Aggregate tables and define different aggregation content in LTS. Used spark-sql to create Schema RDD and loaded it into Hive Tables and handled structured data using Spark SQL. Participated in daily Scrum meetings and weekly project planning and status sessions. Snowflake Architect & Developer Resume - Hire IT People 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. Involved in converting Hive/SQL quries into Spark transformation using Spark RDDs. Consulting on Snowflake Data Platform Solution Architecture, Design, Development and deployment focused to bring the data driven culture across the enterprises. The Annotated Data Architect Resume - Blog - Snowflake USED SQLCODE returns the current error code from the error stack SQLERRM returns the error message from the current error code. MongoDB installation and configuring three nodes Replica set including one arbiter. Root cause analysis for any issues and Incidents in the application. change, development, and how to stand out in the job application Full-time. Created jobs parallel and serial using Load plans. Have good knowledge on Python and UNIX shell scripting. Have good knowledge and experience on Matillion tool. Created different views of reports such as Pivot tables, Titles, Graphs and Filters etc. Experience in various Business Domains like Manufacturing, Finance, Insurance, Healthcare and Telecom. Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. Provided the Report Navigation and dashboard Navigations. Developed highly optimized stored procedures, functions, and database views to implement the business logic also created clustered and non-clustered indexes. Delta load, full load. Extensive experience in migrating data from legacy platforms into the cloud with Lyftron, Talend, AWS and Snowflake. Created ETL design docs, Unit, Integrated and System test cases. Experience with Snowflake cloud data warehouse and AWS S3 bucket for continuous data load using Snowpipe. Experience in working with (HP QC) for finding defects and fixing the issues. Participated in weekly status meeting and cClairenducting internal and external reviews as well as fClairermal walk thrClaireugh amClaireng variClaireus teams and dClairecumenting the prClaireceedings. Data Engineer Resume Example - livecareer Used import and Export from the internal stage (snowflake) from the external stage (AWS S3). Used COPY, LIST, PUT and GET commands for validating the internal stage files. Snowflake Developers. Good working Knowledge of SAP BEX. 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. | 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. 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. Senior Software Engineer - Snowflake Developer. All rights reserved. Loaded the data from Azure data factory to Snowflake. Responsible to implement coding standards defined by snowflake. 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. Maintain and support existing ETL/MDM jobs and resolve issues. Constructing the enhancements in Ab Initio, UNIX and Informix. Environment: OBI EE 11G, OBI Apps 7.9.6.3, Informatica 7, DAC 7.9.6.3, Oracle 11G (SQL/PLSQL), Windows 2008 Server. Clear understanding of Snowflakes advanced concepts like virtual warehouses, query performance using micro- partitions and Tuning. Looking for ways to perfect your Snowflake Developer resume layout and style? Snowflake Developer Roles And Responsibilities Resume - The contact information section is important in your data warehouse engineer resume. Fixed the invalid mappings and trClaireubleshClaireClairet the technical prClaireblems Clairef the database. Optimized the SQL/PLSQL jobs and redacted the jobs execution time. Built a data validation framework, resulting in a 20% improvement in data quality. Knowledge on implementing end to end OBIA pre-built; all analytics 7.9.6.3. Design conceptual and logical data models and all associated documentation and definition. Created the External Tables in order to load data from flat files and PL/SQL scripts for monitoring. Extensively used Integrated Knowledge Module and Loading knowledge module in ODI Interfaces for extracting the data from different source. Extensively used SQL (Inner joins, Outer Joins, subqueries) for Data validations based on the business requirements. You're a great IT manager; you shouldn't also have to be great at writing a resume. Created reports on Meta base to see the Tableau impact on Snowflake in terms of cost. Wrote ETL jobs to read from web APIs using REST and HTTP calls and loaded into HDFS using java and Talend. Data warehouse experience in Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD) techniques etc. Creating Conceptual, Logical and physical data model in Visio 2013. Created and used Reusable Transformations to improve maintainability of the Mappings. 5 + Years Clairef IT experience in the Analysis, Design, DevelClairepment, Testing, and ImplementatiClairen Clairef business applicatiClairen systems fClairer Health care, Financial, TelecClairem sectClairers. Performed file, detail level validation and also tested the data flown from source to target. Experience in using Snowflake zero copy Clone, SWAP, Time Travel and Different Table types. Careers - Senior Snowflake Consultant | Senturus Validating the data from SQL Server to Snowflake to make sure it has Apple to Apple match. 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. 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 Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading nested JSON formatted data into snowflake table. Designing the database reporting for the next phase of the project. 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. Prepared ETL standards, naming conventions and wrote ETL flow documentation for Stage, ODS, and Mart. Define virtual warehouse sizing for Snowflake for different type of workloads. Created internal and external stage and t ransformed data during load. Snowflake Developer Jobs, Employment | Indeed.com 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. 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.