This allows the ETL process to resume a warehouse before loading, and then suspend the warehouse as soon as it is done, along with resizing warehouses for portions of the load that may require more processing power. Data can be staged in an internal, Microsoft Azure blob, Amazon S3 bucket, or Snowflake managed location. Shared sample data using grant access to customer for UAT. Communicated with business customers to discuss the issues and requirements. In - depth understanding of SnowFlake cloud technology. Upload your resume - Let employers find you. Used Avro, Parquet and ORC data formats to store in to HDFS. ... and then modify it to scale it back down when the ETL process is complete. Responsibilities: Coordinated with Business Users for requirement gathering, business analysis to understand the business requirement and to prepare Technical Specification documents (TSD) to code ETL Mappings for new requirement changes. Handling the weekly, monthly release activities. Production Support has been done to resolve the ongoing issues and troubleshoot the problems. 0 0. Of those years, at least the most recent two years (i.e. Responsibilities: Design, Develop and Implementation of ETL jobs to load internal and external data into data mart. Worked for preparing design documents and interacted with the data modelers to understand the data model and design. Defined various facts and Dimensions in the data mart including Fact less Facts, Aggregate and Summary facts. Skills : teradata, informatica, unix, mainframe. Snowflake account, with access to perform read and write. Involved all phases of the project life cycle such as analysis, design, coding, testing, production and post-production. ETL your data into your Snowflake data warehouse Stitch allowed us to set up a data pipeline within a day. Hands on ETL development experience using Informatica Power Center Client tools - Mapping Designer, Repository manager, Workflow Manager/Monitor, Repository Server manager. Hands-on experience across all stages of Software Development Life Cycle (SDLC) including business requirement analysis, data mapping, build, unit testing, system integration and user acceptance testing and Agile. This cloud-based data warehouse solution was first available on AWS as software to load and analyse massive volumes of data. Good experience in shell scripts for Informatica pre & post session operations. Snowflake Architecture based on their SIGMOID paper. 6+ years of experience in the Development and Implementation of Data warehousing with Informatica, OLTP and OLAP involving Data Extraction, Data Transformation, Data Loading and Data Analysis. Performed activities including execution of test plans, design of exception handling strategy and performance tuning. Snowflake is a relational SQL data warehouse provided as a service. Example resumes for this position highlight skills like creating sessions, worklets, and workflows for the mapping to run daily and biweekly, based on the business' requirements; fixing bugs identified in unit testing; and providing data to the reporting team … Summary : A detail oriented professionalwith over 8 years of experience in Analysis, Development, Testing, Implementation and Maintenance of Data Warehousing/Integration projects and knowledge on administrator part as well. Created transformations and used Source Qualifier, Application Source Qualifier, Normalizer, Aggregator, Expression, Sequence Generator, Filter, Router, Look up and Update Strategy, and Stored Procedure to meet client requirements. This allows the ETL process to resume a warehouse before loading, and then suspend the warehouse as soon as it is done, along with resizing warehouses for portions of the load that may require more processing power. The job description entails the ETL developers to execute the following tasks – copying data, extracting data from business processes and loading them into the data warehouse, keeping the information up-to-date, taking responsibility of designing the data storage system, testing and troubleshooting before it goes live. Dice Houston, TX. Learn More. Matillion ETL for Snowflake on Google Cloud will also enable customers to manage various Snowflake features to optimize their experience on the Google Cloud platform. Designed and implemented a snowflake -schema Data Warehouse in SQL Server based on … CREATE OR REPLACE WAREHOUSE "OUT_XXXX" WITH WAREHOUSE_SIZE = 'X-SMALL' AUTO_SUSPEND = 600 AUTO_RESUME = TRUE MIN_CLUSTER_COUNT = 1 MAX_CLUSTER_COUNT = 1 SCALING_POLICY = 'ECONOMY' INITIALLY_SUSPENDED = TRUE COMMENT = 'VW for all data analytics delivered by XXXX'; Start with the smallest warehouse and scale up by benchmarking performance … Worked on Migrating jobs from NiFi development to Pre-PROD and Production cluster. Resolving the issures on adhoc basis by running the workflows through breakfix area in case of failures. Other common roles would be MARKETING_READ for read-only access to marketing data or ETL_WRITE for system accounts performing ETL operations. In practice, there will be a task tree to execute multiple SQL statements in order to perform the complex transformation, and sometime populate the transformed entries into multiple production tables. To install Apache Airflow, you can have a look here. Apply free to various Snowflake job openings @monsterindia.com ! CREATE WAREHOUSE ETL WITH WAREHOUSE_SIZE = ‘XSMALL’ WAREHOUSE_TYPE = ‘STANDARD’ AUTO_SUSPEND = 300 AUTO_RESUME = TRUE; Creating a Schema CREATE SCHEMA “CSV_INGEST_POC”.stage; Creating a Table CREATE TABLE stage.stage_current_quarter_planned ( product_id varchar(128), territory_code varchar(128), period int, user varchar(128), week_end_date … Sharpedge Solutions Inc Charlotte, NC 2 days ago Be among the first 25 applicants. Resume & Interviews Preparation Support; Concepts: SnowSQL,Tableau, Python,, Informatica,Data Warehouse as a Cloud Service,Snowflake Architecture,Database Storage,Query Processing,Cloud Services,Connecting to Snowflake. Interacted with users extensively in gathering the requirements and analyzing the needs of the end users. Worked on Extraction, Transformation and Loading of data using Informatica. Created Data Warehouse Data Modeling used by Erwin. 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