Optimized the SQL/PLSQL jobs and redacted the jobs execution time. Help talent acquisition team in hiring quality engineers. Handled the performance issues by creating indexes, aggregate tables and Monitoring NQSQuery and tuning reports. Developed jobs in both Talend (Talend Platform for MDM with Big Data ) and Talend (Talend Data Fabric). Worked on SnowSQL and Snowpipe, Converted Oracle jobs into JSON scripts to support the snowflake functionality. Expert in ODI 12c/11g setup, Master Repository, Work Repository. Design dimensional model, data lake architecture, data vault 2.0 on Snowflake and used Snowflake logical data warehouse for compute. Whats worse than a .docx resume? Experience in various Business Domains like Manufacturing, Finance, Insurance, Healthcare and Telecom. Migrated the data from Redshift data warehouse to Snowflake. Built and maintained data warehousing solutions using Snowflake, allowing for faster data access and improved reporting capabilities. Preparing data dictionary for the project, developing SSIS packages to load data in the risk database. Experience in all phases Clairef Data WarehClaireuse develClairepment frClairem requirements gathering fClairer the data warehClaireuse tClaire develClairep the cClairede, Unit Testing and DClairecumenting. Worked agile in a team of 4 members and contributed to the backend development of application using microservices architecture. Excellent experience Transforming the data in Snowflake into different models using DBT. The point of listing skills is for you to stand out from the competition. Integrated java code inside Talend studio by using components like tJavaRow, tJava, tJavaFlex and Routines. Designed and implemented a data archiving strategy that reduced storage costs by 30%. Performed Unit Testing and tuned for better performance. These developers assist the company in data sourcing and data storage. We looked through thousands of Snowflake Developer resumes and gathered some examples of what the ideal experience section looks like. Translated business requirements into BI application designs and solutions. Click here to download the full version of the annotated resume. Experience in using Snowflake Clone and Time Travel. Have good knowledge on Core Python scripting. Apply to Business Intelligence Developer, Data Analyst Manager, Front End Associate and more! Data extraction from existing database to desired format to be loaded into MongoDB database. Development of new reports as per the Cisco business requirements which involves changes in the design of ETL and new DB object along with the reports. Privacy policy "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 . WClairerk with multiple data sClaireurces. Q1. Snowflake Developer Dallas, TX $50.00 - $60.00 Per Hour (Employer est.) 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. Creating Conceptual, Logical and physical data model in Visio 2013. Used COPY to bulk load the data. Download your resume, Easy Edit, Print it out and Get it a ready interview! 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. Used Avro, Parquet and ORC data formats to store in to HDFS. Writing complex snowsql scripts in snowflake cloud data warehouse to business analysis and reporting. Define roles, privileges required to access different database objects. Make sure to include most if not all essential skills for the job; Check the job description and add some keywords to pass ATS; When it comes to soft skills elaborate on them in other sections of your resume (e.g. Designed and implemented a data compression strategy that reduced storage costs by 20%. Resolve open issues and concerns as discussed and defined by BNYM management. Use these power words and make your application shine! Involved in production moves. Involved in End-to-End migration of 40+ Object with 1TB Size from Oracle on prem to Snowflake. 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. Here are a few tweaks that could improve the score of this resume: By clicking Build your own now, you agree to ourTerms of UseandPrivacy Policy. Created ODI interfaces, functions, procedures, packages, variables, scenarios to migrate the data. BI: OBIEE, OTBI, OBIA, BI Publisher, TABLEAU, Power BI, Smart View, SSRS, Hyperion (FRS), Cognos, Database: Oracle, SQL Server, DB2, Tera Data and NoSQL, Hyperion Essbase, Operating Systems: Windows 2000, XP, NT, UNIX, MS DOS, Cloud: Microsoft Azure, SQL Azure, AWS, EC2, Red shift, S3, RDS, EMR, Scripting: Java script, VB Script, Python, Shell Scripting, Tools: & Utilities: Microsoft visual Studio, VSS, TFS, SVN, ACCUREV, Eclipse, Toad, Modeling: Kimball, Inmon, Data Vault (Hub & Spoke), Hybrid, Environment: Snowflake, SQL server, Azure Cloud, Azure data factory, Azure blobs,DBT, SQL OBIEE 12C, ODI -12CPower BI, Window 2007 Server, Unix, Oracle (SQL/PLSQL), Environment: Snowflake, AWS, ODI -12C, SQL server, Oracle 12g (SQL/PLSQL). Progressive experience in the field of Big Data Technologies, Software Programming and Developing, which also includes Design, Integration, Maintenance. Worked on Hue interface for Loading the data into HDFS and querying the 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. Participated in sprint planning meetings, worked closely with the manager on gathering the requirements. Performed Functional, Regression, System, Integration and end to end Testing. Developed a data validation framework, resulting in a 25% improvement in data quality. Nice to have Hands-on experience with at least one Snowflake implementation. Worked in determining various strategies related to data security. He 2+ years of experience with Snowflake. 4.3 Denken Solutions Inc Snowflake Developer Remote $70.00 - $80.00 Per Hour (Employer est.) Q: Explain Snowflake Cloud Data Warehouse. Our new Developer YouTube channel is . Strong Knowledge of BFS Domain including Equities, Fixed Income, Derivatives, Alternative Investments, Benchmarking etc. 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. WClairerked Clairem lClaireading data intClaire SnClairewflake DB in the clClaireud frClairem variClaireus SClaireurces. Hybrid remote in McLean, VA 22102. Created reports to retrieve data using Stored Procedures that accept parameters. Performed data quality issue analysis using SnowSQL by building analytical warehouses on Snowflake. Worked on data ingestion from Oracle to hive. More. 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. Expertise in the deployment of the code from lower to higher environments using GitHub. ETL development using Informatica powercenter designer. Experience in Microsoft Azure cloud components like Azure data factory (ADF), Azure blobs and azure data lakes and azure data bricks. Snowflake Developer Resume $140,000 jobs. Unless specifically stated otherwise, such references are not intended to imply any affiliation or association with LiveCareer. Strong experience in building ETL pipelines, data warehousing, and data modeling. ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake. Used import and Export from the internal stage (snowflake) from the external stage (AWS S3). High level data design including the database size, data growth, data backup strategy, data security etc. Coordinates and assists the activities of the team to resolve issues in all areas and provide on time deliverables. Created Snowpipe for continuous data load. Identifying key dimensions and measures for business performance, Developing Metadata Repository (.rpd) using Oracle BI Admin Tool. Prepared ETL standards, naming conventions and wrote ETL flow documentation for Stage, ODS, and Mart. change, development, and how to stand out in the job application Full-time. Define virtual warehouse sizing for Snowflake for different type of workloads. Involved in performance improvement process and quality review process and supporting existing down streams and their production load issues. Stored procedure migration from ASE to Sybase IQ for performance enhancement. The recruiter needs to be able to contact you ASAP if they want to offer you the job. Senior Software Engineer - Snowflake Developer. DBMS: Oracle,SQL Server,MySql,Db2 Tested Standard and ad-hoc SQL Server reports and compared the results against the database by writing SQL Queries. (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. Worked as a Team of 14 and system tested the DMCS 2 Application. Extensive experience in creating BTEQ, FLOAD, MLOAD, FAST EXPORT and have good knowledge about TPUMP and TPT. Developed data validation rule in the Talend MDM to confirm the golden record. Cloud Engineer (Python, AWS) (Hybrid - 3 Days in Office) Freddie Mac 3.8. Participates in the development improvement and maintenance of snowflake database applications. Work Experience Data Engineer Built and maintained data warehousing solutions using Redshift, enabling faster data access and improved reporting capabilities. 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. . Created roles and access level privileges and taken care of Snowflake Admin Activity end to end. Check them out below! Extracting business logic, Identifying Entities and identifying measures/dimensions out from the existing data using Business Requirement Document and business users. Remote in San Francisco, CA. All rights reserved. Expertise in developing Physical layer, BMM Layer and Presentation layer in RPD. Used Talend big data components like Hadoop and S3 Buckets and AWS Services for redshift. Involved in fixing various issues related to data quality, data availability and data stability. DataWarehousing: Snowflake Teradata Designing ETL jobs in SQL Server Integration Services 2015. View answer (1) Q2. Ultimately, the idea is to show youre the perfect fit without putting too much emphasis on your work experience (or lack thereof). Constructing the enhancements in Ab Initio, UNIX and Informix. Served as a liaison between third-party vendors, business owners, and the technical team. Created different types of reports such as Pivot tables, Titles, Graphs and Filters etc. Delivering and implementing the project as per scheduled deadlines; extending post-implementation and maintenance support to the technical support team and client. Involved in Reconciliation Process while testing loaded data with user reports. Extensively worked on data migration from on prem to the cloud using Snowflake and AWS S3. ETL Developer Resume Objective : Over 8+ years of experience in Information Technology with a strong back ground in Analyzing, Designing, Developing, Testing, and Implementing of Data Warehouse development in various domains such as Banking, Insurance, Health Care, Telecom and Wireless. Reporting errors in error tables to client, rectifying known errors and re-running scripts. Built python and SQL scripts for data processing in Snowflake, Automated the Snowpipe to load the data from Azure cloud to Snowflake. Exposure on maintaining confidentiality as per Health Insurance Portability and Accountability Act (HIPPA). Have good knowledge and experience on Matillion tool. Experience in real time streaming frameworks like Apache Storm. Designing the database reporting for the next phase of the project. Validating the data from Oracle Server to Snowflake to make sure it has Apple to Apple match. Knowledge on implementing end to end OBIA pre-built; all analytics 7.9.6.3. Design, develop, test, implement and support of Data Warehousing ETL using Talend. 130 jobs. Implemented different Levels of Aggregate tables and define different aggregation content in LTS. Good understanding of SAP ABAP. Created Snowpipe for continuous data load, Used COPY to bulk load the data. 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. Involved in implementing different behaviors of security according to business requirements. Develop & sustain innovative, resilient and developer focused AWS eco-system( platform and tooling). Developed reusable Mapplets and Transformations. Used Change Data Capture (CDC) to simplify ETL in data warehouse applications. As such, it is not owned by us, and it is the user who retains ownership over such content. Instead of simply mentioning your tasks, share what you have done in your previous positions by using action verbs. Its great for applicants with lots of experience, no career gaps, and little desire for creativity. Experience with Power BI - modeling and visualization. $130,000 - $140,000 a year. Using SQL Server profiler to diagnose the slow running queries. Implemented usage tracking and created reports. Data analysis, Database programming (Stored procedures; Triggers, Views), Table Partitioning, performance tuning, Strong knowledge of Non-relational (NoSQL) databases viz. Develop transformation logic using snowpipeline. Developed Talend MDM jobs to populate the claims data to data warehouse - star schema, snowflake schema, Hybrid Schema. Have good Knowledge in ETL and hands on experience in ETL. Wrote scripts and indexing strategy for a migration to Confidential Redshift from SQL Server and MySQL databases. Build dimensional modelling, data vault architecture on Snowflake. Strong Accounting knowledge of Cash Flow, Income Statements, Balance Sheet and ratio analysis. *The names and logos of the companies referred to in this page are all trademarks of their respective holders. Co-ordinating the design and development activities with various interfaces like Business users, DBAs etc. . 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. Experience includes analysis, design, development, implementation, deployment and maintenance of business intelligence and data warehousing applications using Snowflake, OBIEE, OBIA and Informatica, ODI and DAC (Data warehouse Console). Implemented Change Data Capture technology in Talend in order to load deltas to a Data Warehouse. Its great for recent graduates or people with large career gaps. Experience in buildingSnow pipe, Data Sharing, Databases, Schemas and Tablestructures. Analysing and documenting the existing CMDB database schema. Performed data quality analysis using SnowSQL by building analytical warehouses on Snowflake. Created internal and external stage and t ransformed data during load. Developed and maintained data pipelines for ETL processes, resulting in a 15% increase in efficiency. BI Publisher reports development; render the same via BI Dashboards. Strong knowledge of SDLC (viz. Have good knowledge on Python and UNIX shell scripting. 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. Developed, supported and maintained ETL processes using ODI. Used Toad to verify the counts and results of the graphs and Tuning of Ab Initio graphs for better performance. IDEs: Eclipse,Netbeans. Developed and optimized complex SQL queries and stored procedures to extract insights from large datasets. Monday to Friday + 1. Develop alerts and timed reports Develop and manage Splunk applications. Database: Oracle 9i/10g, 11g, SQL Server 2008/2012, DB2, Teradata, Netezza, AWS Redshift, Snowflake. Unix Shell scripting to automate the manual works viz. Created ETL design docs, Unit, Integrated and System test cases. Privacy policy Produce and/or review the data mapping documents. Expertise and excellent understanding of Snowflake with other data processing and reporting technologies. Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python / Java. Postman Tutorial for the Snowflake SQL API , Get Started with Snowpark using Python Worksheets , Data Engineering with Apache Airflow, Snowflake & dbt , Get Started with Data Engineering and ML using Python , Get Started with Snowpark for Python and Feast , Build a credit card approval prediction ML workflow . Fixed the SQL/PLSQL loads whenever scheduled jobs are failed. Q3. Tuning the slow running stored procedures using effective indexes and logic. If youre in the middle or are generally looking to make your resume feel more modern and personal, go for the combination or hybrid resume format. Participated in gathering the business requirements, analysis of source systems, design. Created complex mappings in Talend 7.1 using tMap, tJoin, tReplicate, tParallelize, tFixedFlowInput, tAggregateRow, tFilterRow, tIterateToFlow, tFlowToIterate, tDie, tWarn, tLogCatcher, tHiveIput, tHiveOutputetc tMDMInput, tMDMOutput. Have excellent quality of adapting to latest technology with analytical, logical and innovative knowledge to provide excellent software solutions. 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. Implemented Change Data Capture (CDC) feature ofODI to refresh the data in Enterprise Data Warehouse (EDW). Data validations have been done through information_schema. Postman Tutorial for the Snowflake SQL API Build an Image Recognition App Build a Custom API in Python on AWS Data Pipelines Converted around 100 views queries from Oracle server to snowflake compatibility, and created several secure views for downstream applications. Worked on logistics application to do shipment and field logistics of Energy and Utilities Client. Creating reports and prompts in answers and creating dashboards and links for the reports. and prompts in answers and created the Different dashboards. 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. Used the Different Levels of Aggregate Dimensional tables and Aggregate Fact tables. Developed highly optimized stored procedures, functions, and database views to implement the business logic also created clustered and non-clustered indexes.
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