Maestro Data Architect

Job DescriptionMust Have Technical/Functional SkillsDesign, develop, and maintain ETL/ELT pipelines using Snowflake, SQL, Python, and/or cloud services preferably AWSBuild and optimize data models (staging, warehouse, Datamarts) using best practices such as micro partitioning, clustering, and performance tuning.Develop and manage data ingestion workflows from structured and semi structured sources (JSON, Parquet, XML, APIs, etc.).Implementation of business requirements using Snowflake features such as Streams, Tasks, Time Travel, Zero Copy Cloning, and Snowpipe for automated data loads.Collaborate with Data architects, analysts, and business stakeholders to translate requirements into scalable technical solutions.Monitor and Troubleshoot pipelines for failures and issues ensuring data quality and integrity.Document data flows, transformations, and technical processes for maintainability and knowledge sharingExcellent analytical skills and strong understanding of SQL/PLSQLJob scheduling and orchestration using industry standard toolsRoles & Responsibilities" Hands-on experience with Cloud based Database, preferably Snowflake" Excellent SQL / PL SQL skills" Basic understanding on AWS" Experience on orchestration / scheduling tool, preferably Tidal" Experience on Python is an advantage" Working experience on Data Warehousing and Modeling" Basic understanding of Banking terminology