IN_Senior Associate_Snowflake_Data Analytics_Advisory

V2 Solutions; Hinoba-an; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

V2 Solutions is seeking a Senior Associate Snowflake Developer/Data Engineer to design, build, and optimize cloud data warehousing on Snowflake. You will own ingestion, ELT pipelines, performance tuning, and governance to ensure secure data sharing.

The ideal candidate has 5–8 years of Snowflake data engineering experience, strong SQL, Python or JavaScript skills, and hands-on cloud exposure with AWS/Azure/GCP, with Azure emphasis for this role.

Qualifications

• Deep SQL expertise and data warehousing fundamentals.
• Proficiency in Python or JavaScript for data transformations.
• Hands-on cloud experience with AWS, Azure or GCP.
• 5–8 years in data engineering or Snowflake-specific roles.
• Snowflake platform hands-on experience is mandatory.
• Azure cloud experience is mandatory.
• Python and SQL programming are mandatory.

Responsibilities

• Data Modeling Architecture: Design and implement robust data models and schemas within Snowflake.
• Pipeline Development: Build scalable data pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
• Performance Optimization: Tune data warehouses, storage and SQL queries for cost-efficiency and speed.
• Data Security Governance: Implement RBAC, data masking, row-level security, and secure data sharing.
• Integration: Work with cloud environments like AWS, Azure, or GCP and integrate Snowflake with third-party ETL/ELT tools (dbt, Airflow, Matillion).

Skills

Snowflake

SQL

Python

Cloud Experience

JavaScript

Tools

dbt

Airflow

Matillion

Snowpipe

Snowpark

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics AI Management Level Senior Associate

Job Description Summary

Snowflake Developer or Data Engineer is responsible for designing, building, and optimizing cloud-based data warehousing and analytics solutions using the Snowflake platform. Professionals in this role focus on data ingestion, ELT (Extract, Load, Transform) pipeline creation, query performance tuning, and ensuring strict data security and governance.

Responsibilities

• Data Modeling Architecture: Design and implement robust data models and schemas within Snowflake.
• Pipeline Development: Build and maintain scalable data pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
• Performance Optimization: Monitor and tune data warehouses, storage, and SQL queries for cost-efficiency and maximum speed.
• Data Security Governance: Implement RBAC, data masking, row-level security, and secure data sharing.
• Integration: Work with cloud environments like AWS, Azure, or GCP and integrate Snowflake with third-party ETL/ELT tools (dbt, Airflow, Matillion).

Required Skills Qualifications

• Database SQL Expertise: Deep understanding of relational databases, advanced SQL, and data warehousing principles.
• Programming Languages: Proficiency in Python or JavaScript is typically required for advanced data transformations and scripting.
• Cloud Experience: Hands-on experience with major cloud providers (AWS, Microsoft Azure, or Google Cloud Platform).
• Experience Level: Depending on the specific role, positions typically require between 5 to 8 years of dedicated data engineering or Snowflake-specific experience.
• Mandatory skill sets: Strong hands-on experience in Snowflake (mandatory) Cloud: Azure (mandatory) Programming: Python SQL (mandatory)
• Preferred skill sets: Strong hands-on experience in Snowflake (mandatory) Cloud: Azure (mandatory)