Key Responsibilities
Robust hands-on experience with SQL and/or Python for data analysis and ad hoc query development.
Develop and optimize ETL/ELT processes, translating business requirements into dimensional models, facts, and dimensions while considering Change Data Capture (CDC).
Design and implement scalable data pipelines and architectures using Snowflake.
Develop complex SQL queries and scripts for data transformation, aggregation, and analysis.
Apply solid data modelling principles, particularly for data science projects involving large historical snapshot tables and multiple features.
Optimize data flows and solutions to support cross-functional data requirements.
Implement data security, governance,



and compliance in line with industry standards.
Work with Snowflake architecture, data warehousing, administration, and Snowpipe.
Evaluate emerging technologies and contribute to scalable and distributed data architecture solutions.

Required Skills

SQL and/or Python

ETL/ELT and CDC

Data Modelling

Snowflake Data Warehouse

Snowpipe

Data Pipelines & Architecture

Data Transformation & Analysis

Data Security & Governance

Preferred: Experience with cloud data warehouse technologies, particularly Snowflake.

📌 Snowflake Hyderabad (India)
🏢 Alike Thoughts
📍 India