Will be working as an ELT Engineer for an enterprise datawarehouse that handles data extraction, loading and transformation process for lead, sales, commission, calls, finance, and few other domains.
Will be involved in data pipeline design, data integration and data retention activities.
Will be guiding project team members on development, enhancements, and production support activities.
Will be creating new ELT processes that extracts data from SQL server and CSV files, loads and transform in Snowflake database (on AWS cloud)
Will be modifying existing ELT processes to accommodate any business logic changes.
Will be creating new ELT processes to handle near-real time data processing that extracts data from transactional systems and loads in Snowflake database (on AWS cloud)
Will be working with architect to apply data quality, data access and data security principles.
Will be optimizing existing ELT jobs to improve ELT performance.
Will be working with project team members and business in triaging new feature prioritization and implementation.
Will be responsible for any bug fixes in the production environment and production rerun and ticket resolution.
Will be following change approval process, release management and production deployment process.
Handles user queries on data (data lineage and troubleshooting).
Will be responsible in creating and updating design document and SOP documents.
Resource is required to be having 3+ years of hands-on experience in WhereScape RED ELT tool and Snowflake (DDL, DML and stored procedures)
Resource should be knowledgeable on data orchestration and pipeline automation using WhereScape RED tool.
Resource should be knowledgeable in Pebble scripting (that comes along with RED ELT tool).
70% of time will be spent on new development and enhancement activities; 30% time will be spent on bug-fixes, user queries, and production support