Maestro Data Architect

Job Description

Must Have Technical/Functional Skills

Design, develop, and maintain ETL/ELT pipelines using Snowflake, SQL, Python, and/or cloud services preferably AWS

Build 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 sharing

Excellent analytical skills and strong understanding of SQL/PLSQL

Job scheduling and orchestration using industry standard tools

Roles & 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