5 + Years Clairef IT experience in the Analysis, Design, DevelClairepment, Testing, and ImplementatiClairen Clairef business applicatiClairen systems fClairer Health care, Financial, TelecClairem sectClairers. Stored procedure migration from ASE to Sybase IQ for performance enhancement. Define virtual warehouse sizing for Snowflake for different type of workloads. Expert in ODI 12c/11g setup, Master Repository, Work Repository. Implemented usage tracking and created reports. Responsible for monitoring sessions that are running, scheduled, completed and failed. Creating Reports in Looker based on Snowflake Connections, Experience in working with AWS, Azure and Google data services. The Trade Desk 4.2. Sun Solaris 8/7.0, IBM AIX 4.3. Wrote scripts and indexing strategy for a migration to Confidential Redshift from SQL Server and MySQL databases. Implemented a data partitioning strategy that reduced query response times by 30%. 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. Converted around 100 views queries from Oracle server to snowflake compatibility, and created several secure views for downstream applications. Proficient in creating and managing Dashboards, Reports and Answers. Set up an Analytics Multi-User Development environment (MUDE). Or else, theyll backfire and make you look like an average candidate. Have good Knowledge in ETL and hands on experience in ETL. Created SQL/PLSQL procedure in oracle database. Participated in sprint calls, worked closely with manager on gathering the requirements. Build data pipelines in your preferred language. Responsible for Unit, System and Integration testing and performed data validation for all the reports that are generated. Designed and Created Hive external tables using shared Meta-store instead of derby with partitioning, dynamic partitioning and buckets. Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale. Our new Developer YouTube channel is . Done analysis of Source, Requirements, existing OLTP system and identification of required dimensions and facts from the Database. Look for similarities between your employers values and your experience. Best Wishes From MindMajix Team!! For long running scripts, queries identifying join strategies, issues, bottlenecks and implementing appropriate performance tuning methods. Monday to Friday + 1. Performance tuning of slow running queries and stored procedures in Sybase ASE. Bellevue, WA. Created Different types of reports including Union and Merged and prompts in answers and created the Different dashboards. 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. process. Used import and Export from the internal stage (snowflake) from the external stage (AWS S3). Involved in monitoring the workflows and in optimizing the load times. Excellent knowledge of Data Warehousing Concepts. applies his deep knowledge and experience to write about career Developed jobs in both Talend (Talend Platform for MDM with Big Data ) and Talend (Talend Data Fabric). Created Logical Schemas, Logical measures and hierarchies in BMM layer in RPD. Data modelling activities for document database and collection design using Visio. Have good knowledge and experience on Matillion tool. 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. Senior Data Engineer. Here are a few tweaks that could improve the score of this resume: 2023, Bold Limited. What is time travelling in Snowflake; Add answer. Wrote ETL jobs to read from web APIs using REST and HTTP calls and loaded into HDFS using java and Talend. 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. Build ML workflows with fast data access and data processing. WClairerked Clairem lClaireading data intClaire SnClairewflake DB in the clClaireud frClairem variClaireus SClaireurces. Read data from flat files and load into Database using SQL Loader. Customized all the dashboards, reports to look and feel as per the business requirements using different analytical views. SClairelid experience in DimensiClairenal Data mClairedeling, Star Schema/SnClairewflake mClairedeling, Fact & DimensiClairenal tables, Physical & LClairegical data mClairedeling, Claireracle Designer, Data integratClairer. Expertise in configuration and integration of BI publisher with BI Answers and BI Server. Involved in the enhancement of the existing logic in the procedures. 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. It offers the best of both worlds by combining sections focused on experience and work-related skills and at the same time keeping space for projects, awards, certifications, or even creative sections like my typical day and my words to live by. 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. Have good knowledge on Snowpipe and SnowSQL. Highly skilled Snowflake Developer with 5+ years of experience in designing and developing scalable data solutions. Strong experience with ETL technologies and SQL. Worked with both Maximized and Auto-scale functionality. *The names and logos of the companies referred to in this page are all trademarks of their respective holders. Extensive experience with shell scripting in the UINX EnvirClairenment. Have good knowledge on Core Python scripting. Scheduled and administered database queries for off hours processing by creating ODI Load plans and maintained schedules. Programming Languages: Pl/SQL, Python(pandas),SnowSQL Suitable data model, and develop metadata for the Analytical Reporting. Data moved from Netezza to Snowflake internal stage and then to Snowflake, with copy options. Worked in industrial agile software development process i.e. Spark, Hive: LLAP, Beeline, Hdfs,MapReduce,Pig,Sqoop,HBase,Oozie,Flume, Hadoop Distributions: Cloudera,Hortonworks. Responsible for design and build data mart as per the requirements. Validation of Looker report with Redshift database. Developed and implemented optimization strategies that reduced ETL run time by 75%. Snowflake Developer Dallas, TX $50.00 - $60.00 Per Hour (Employer est.) Analysing the input data stream and mapping it with the desired output data stream. Performance tuning for slow running stored procedures and redesigning indexes and tables. ETL development using Informatica powercenter designer. Waterfall, Agile, Scrum) and PMLC. Designed and developed a new ETL process to extract and load Vendors from Legacy System to MDM by using the Talend Jobs. Created internal and external stage and transformed data during load. Experience in pythClairen prClairegramming in data transfClairermatiClairen type activities. Experience in buildingSnow pipe, Data Sharing, Databases, Schemas and Tablestructures. Create and maintain different types of Snowflake objects like transient, temp and permanent. Built and maintained data warehousing solutions using Redshift, enabling faster data access and improved reporting capabilities. Strong experience with ETL technologies and SQL. Snowflake/NiFi Developer Responsibilities: Involved in Migrating Objects from Teradata to Snowflake. Developed around 50 Matillion jobs to load data from S3 to SF tables. Published reports and dashboards using Power BI. Created common reusable objects for the ETL team and overlook coding standards. 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. Extensively used Oracle ETL process for address data cleansing. Easy Apply 15d 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. Involved in performance monitoring, tuning, and capacity planning. Develop transformation logics using Snowpipe for continuous data loads. Experience in various Business Domains like Manufacturing, Finance, Insurance, Healthcare and Telecom. Fixed the SQL/PLSQL loads whenever scheduled jobs are failed. Instead of simply mentioning your tasks, share what you have done in your previous positions by using action verbs. Design and code required Database structures and components. Impact analysis for business enhancements and modifications. Used Tab Jolt to run the load test against the views on tableau. Translated business requirements into BI application designs and solutions. Prepared ETL standards, naming conventions and wrote ETL flow documentation for Stage, ODS, and Mart. Extensively worked on data migration from on prem to the cloud using Snowflake and AWS S3. Developed and optimized complex SQL queries and stored procedures to extract insights from large datasets. Heavily invClairelved in testing SnClairewflake tClaire understand best pClairessible ways tClaire use the clClaireud resClaireurces. Created measures and implemented formulas in the BMM layer. Fill in your email Id for which you receive the Snowflake resume document. Cloud Engineer (Python, AWS) (Hybrid - 3 Days in Office) Freddie Mac 3.8. Designed and implemented efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Data Warehouse. Used ETL to extract files for the external vendors and coordinated that effort. Expert in configuring, designing, development, implementation and using Oracle pre-build RPDs (Financial, HR, Sales, Supply Chain and Order Management, Marketing Analytics, etc.) Progressive experience in the field of Big Data Technologies, Software Programming and Developing, which also includes Design, Integration, Maintenance. 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. Documenting guidelines for new table design and queries. Created RPD and Implemented different types of Schemas in the physical layer as per requirement. 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. Assisted in the definition of the database requirements; analyzed existing models and reports looking for opportunities to improve their efficiency and troubleshoot various performance issues. Used sandbox parameters to check in and checkout of graphs from repository Systems. Implemented Data Level and Object Level Securities. Snowflake Developer. "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 . Work Experience Data Engineer Maintain and support existing ETL/MDM jobs and resolve issues. The Trade Desk. Developed the repository model for the different work streams with the necessary logic that involved creating the Physical, BMM and the Presentation layer. 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. Good understanding of Entities, Relations and different types of tables in snowflake database. Used Temporary and Transient tables on diff datasets. Testing code changes with all possible negative scenarios and documenting test results. Nice to have Hands-on experience with at least one Snowflake implementation. In-depth knowledge ofData Sharingin Snowflake, Row level, column level security. Sort by: relevance - date. Did error handling and performance tuning for long running queries and utilities. $111,000 - $167,000 a year. 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-depth knowledge of Snowflake Database, Schema and Table structures. Experience in using SnowflakeCloneandTime Travel. Strong Accounting knowledge of Cash Flow, Income Statements, Balance Sheet and ratio analysis. Created data sharing between two snowflake accounts (ProdDev). Launch Alert https://lnkd.in/gCePgc7E Calling all Snowflake developers, data scientists, and ML engineers! Created different types of reports such as Pivot tables, Titles, Graphs and Filters etc. Worked with cloud architect to set up the environment, Designs batch cycle procedures on major projects using scripting and Control. Good working knowledge of any ETL tool (Informatica or SSIS). Develop & sustain innovative, resilient and developer focused AWS eco-system( platform and tooling). Designing application driven architecture to establish the data models to be used in MongoDB database. Designed and developed Informaticas Mappings and Sessions based on business user requirements and business rules to load data from diverse sources such as source flat files and oracle tables to target tables. 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 Worked on SnowSQL and Snowpipe, Converted Oracle jobs into JSON scripts to support the snowflake functionality. 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. Privacy policy Expertise in identifying and analyzing the business need of the end-users and building the project plan to translate the functional requirements into the technical task that guide the execution of the project. Mentor and train junior team members and ensure coding standard is followed across the project. Design dimensional model, data lake architecture, data vault 2.0 on Snowflake and used Snowflake logical data warehouse for compute. These developers assist the company in data sourcing and data storage. Writing SQL queries against Snowflake. 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. Experience with command line tool using Snow SQL to put the files in different staging area and run SQL commands. Creating new tables and audit process to load the new input files from CRD. Extensively worked on writing JSON scripts and have adequate knowledge using APIs. Building business logic in stored procedure to extract data in XML format to be fed to Murex systems. Used Informatica Server Manager to create, schedule, monitor sessions and send pre and post session emails to communicate success or failure of session execution. Implemented business transformations, Type1 and CDC logics by using Matillion. Define roles, privileges required to access different database objects. Snowflake Developer Resume jobs. Find more Quickstarts|See our API Reference, 2023 Snowflake Inc. All Rights Reserved. Involved in production moves. Participated in gathering the business requirements, analysis of source systems, design. A resume with a poorly chosen format. Postproduction validations like code and data loaded into tables after completion of 1st cycle run. Created various Documents such as Source-to-Target Data mapping Document, and Unit Test Cases Document. Designed and implemented a data archiving strategy that reduced storage costs by 30%. Worked on data ingestion from Oracle to hive. Experience in various data ingestion patterns to hadoop. Worked on logistics application to do shipment and field logistics of Energy and Utilities Client. Expertise in creating and configuring Oracle BI repository. In-depth knowledge on Snow SQL queries and working with Teradata SQL, Oracle, PL/SQL. 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. 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. Working with Traders and Business analyst to finalize the requirements. Data moved from Oracle AWS snowflake internal stageSnowflake with copy options. Analysing and documenting the existing CMDB database schema. . Experience with Snowflake Multi - Cluster Warehouses. Participated in daily Scrum meetings and weekly project planning and status sessions. (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. Help talent acquisition team in hiring quality engineers. Developed Talend Bigdata jobs to load heavy volume of data into S3 data lake and then into Redshift data warehouse. Responsible for implementation of data viewers, Logging, error configurations for error handling the packages. Involved in writing procedures, functions in PL/SQL. Used Talend big data components like Hadoop and S3 Buckets and AWS Services for redshift. Used Avro, Parquet and ORC data formats to store in to HDFS. Expertise in develClaireping SQL and PL/SQL cClairedes thrClaireugh variClaireus PrClairecedures/FunctiClairens, Packages, CursClairers and Triggers tClaire implement the business lClairegics fClairer database. Preparing data dictionary for the project, developing SSIS packages to load data in the risk database. Postproduction validations - code validation and data validation after completion of 1st cycle run. Replication testing and configuration for new tables in Sybase ASE. Developed data warehouse model in snowflake for over 100 datasets using whereScape. 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. Developed Talend ETL jobs to push the data into Talend MDM and develop the jobs to extract the data from MDM. 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 ABC Corp 01/2019 Present Developed a real-time data processing system, reducing the time to process and analyze data by 50%. Implemented Change Data Capture (CDC) feature ofODI to refresh the data in Enterprise Data Warehouse (EDW). Snowflake Developer Resume $140,000 jobs. Build dimensional modelling, data vault architecture on Snowflake. Splitting bigger files based on the record count by using split function in AWS S3. Good working Knowledge of SAP BEX. Resolve open issues and concerns as discussed and defined by BNYM management. As such, it is not owned by us, and it is the user who retains ownership over such content. 4,473 followers. Performance tuned the ODI interfaces and optimized the knowledge modules to improve the functionality of the process. Experience in data architecture technologies across cloud platforms e.g. Used FLATTEN table function to produce lateral view of VARIENT, OBECT and ARRAY column. Created different types of tables in Snowflake like Transient tables, Permanent tables and Temporary tables. Prepared the Test scenarios and Test cases documents and executed the test cases in ClearQuest. Define virtual warehouse sizing for Snowflake for different type of workloads. Peer review of code, testing, Monitoring NQSQuery and tuning reports. . Involved in End-to-End migration of 80+ Object with 2TB Size from Oracle server to Snowflake, Data moved from Oracle Server to AWS snowflake internal stage with copy options, created roles and access level privileges and taken care of Snowflake Admin Activity end to end. Participated in sprint planning meetings, worked closely with the manager on gathering the requirements.
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