Job Title: Senior Snowflake Data Engineer –
Data Platform & AI
Job
Location: Hyderabad
Experience: 6–10 years
Start Date: As soon as possible

Role Overview

We are seeking a Senior Snowflake Data Engineer to design, develop, and
maintain scalable data platform solutions for the Pacific Data Platform. The
role covers end-to-end data ingestion, transformation, data modeling,
performance optimization, security, and data quality.

The role also involves developing AI-enabled solutions using Snowflake Cortex AI, Cortex Analyst, and Cortex Search to support natural-language analytics, intelligent
search, and insights from structured and unstructured data.

The successful candidate will work closely with cross-functional teams to
translate business requirements into reliable, secure, and cost-effective
solutions. They should be self-directed and comfortable supporting the data
needs of multiple teams, systems, and products.

Key Responsibilities

Snowflake Data Engineering

Design and implement scalable Snowflake data architectures for storage,
processing, reporting, analytics, and AI use cases and strong sql,

Develop and maintain ETL/ELT pipelines using SQL, Python, Snowpark, SnapLogic,
and/or Azure Data Factory.

Integrate structured and semi-structured data from databases, APIs, enterprise
applications, and files, and prepare unstructured content for AI processing.

Implement full-load, incremental-load, and change data capture processes with
appropriate validation, reconciliation, and error handling.

Develop and maintain dimensional and relational data models that accurately
represent business requirements.

Build and optimize tables, views,



stored procedures, tasks, streams, and
dynamic tables where appropriate.

Analyze query profiles and optimize warehouse sizing, clustering, partition
pruning, and caching to improve performance and control costs.

Review existing SQL and Python code to improve efficiency, security,
robustness, and maintainability.
Implement data quality checks for completeness, accuracy, consistency,
validity, and duplication.

Snowflake AI and Cortex
Design and implement AI-enabled data solutions using Snowflake Cortex AI
and Snowpark, Cortex Analyst, Cortex Search and Agent creation

Apply Cortex AI functions to relevant use cases such as text summarization,
classification, information extraction, and data enrichment.

Collaborate with business stakeholders to identify practical AI use cases
across property, lease, availability, client, and market data.

Platform Operations and
Collaboration

Implement Snowflake role-based access control, masking policies, row
access policies, and auditing in line with enterprise security requirements.
Monitor pipeline execution, data freshness, warehouse utilization, failures,
and service performance.

Establish logging, alerting, retry, and recovery mechanisms for reliable
production operations.





Maintain version-controlled code and support automated deployments through Git
and Azure DevOps.

Document architectures, data mappings, pipelines, semantic definitions, and
operational procedures.

Collaborate with application engineers, analysts, architects, and business stakeholders throughout delivery.

Mentor junior engineers and promote engineering standards, code reviews, and
continuous improvement.

Key Qualifications

Required Qualifications
Bachelor’s or
master’s degree in Computer Science, Information Technology, Engineering, or a
related field.
6–10 years of relevant experience in data engineering, database development, or cloud data platforms.

Strong hands-on experience with Snowflake architecture, data loading, SQL
development, performance optimization, and security.

Advanced SQL skills, including complex joins, window functions, stored
procedures, query profiling, and troubleshooting.

Robust Python programming skills for data processing, automation, API
integration, and error handling.

Experience with Snowpark for data transformations and application integration.

Experience building pipelines using Azure Data Factory, or comparable
integration tools.

Practical experience with Snowflake Cortex AI, Cortex Analyst, and Cortex
Search.

Ability to develop semantic views or semantic models with clear business
definitions and validated analytical queries.
Understanding of natural-language-to-SQL, semantic and keyword search,
embeddings, text chunking, and RAG.

Experience integrating Snowflake AI capabilities with applications using APIs
or Python.

📌 Senior Snowflake Data Engineer (Hyderabad)
🏢 Important Company of the Sector
📍 Hyderabad