Key Responsibilities

- Strong 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)
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📍 Hyderabad