Role Summary

We are looking for an experienced Snowflake Data Engineer with strong expertise in Snowflake, AWS, Python, SQL, and GitHub. The ideal candidate should have hands-on experience in designing and building scalable data pipelines, developing ELT processes, and working with diverse data formats such as CSV, JSON, and Parquet. Experience in GCP-based data migration projects is highly desirable.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake, AWS, and Python.
- Develop and optimize complex SQL queries for high-performance data processing and reporting.
- Create and manage Snowflake Streams, Tasks, Views, and Stored Procedures.
- Build robust ELT/ETL pipelines to ingest, transform, and process large-scale datasets.
- Work extensively with different file formats including:
- CSV
- JSON
- Parquet
- Implement data ingestion and transformation frameworks for structured and semi-structured data.
- Participate in GCP migration initiatives, including data migration, validation, and optimization.
- Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions.
- Utilize GitHub for version control, code reviews, and CI/CD integration.
- Monitor data quality, performance, and security across cloud environments.
- Troubleshoot and resolve data pipeline and Snowflake performance issues.

Mandatory Technical Skills

Snowflake

- Strong hands-on experience with:
- Snowflake Streams
- Snowflake Tasks
- Snowflake Views
- Snowflake Stored Procedures
- Snowflake Performance Optimization
- Data Modeling and ELT Development

Cloud & Data Engineering





- Strong experience with AWS services (S3, Glue, Lambda, IAM, etc.).
- Hands-on experience with GCP and data migration projects.
- Expertise in building cloud-native data solutions.

Programming & Database

- Solid proficiency in Python.
- Strong experience in SQL query writing, tuning, and optimization.
- Experience with ETL/ELT frameworks and orchestration tools.

Data Formats

- Extensive experience handling and processing:
- CSV files
- JSON files
- Parquet files
- Semi-structured and structured data

Version Control

- GitHub (Mandatory)

Good to Have

- Power BI experience for data visualization and business analytics.
- Exposure to ServiceNow.
- Knowledge of CI/CD and DevOps practices.
- Experience with Agile/Scrum delivery methodologies.

Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- Snowflake, AWS, or GCP certifications will be an added advantage.

Preferred Candidate Profile

- 6-9 years of Data Engineering experience.
- Strong problem-solving and analytical skills.
- Experience working with large-scale cloud data platforms.
- Excellent communication and stakeholder management skills.
- Ability to work independently in a fast-paced environment.

Mandatory Skill Matrix



Skill

Requirement

Snowflake

Mandatory

Streams, Tasks, Views, Stored Procedures

Mandatory

AWS

Mandatory

Python

Mandatory

Advanced SQL

Mandatory

GitHub

Mandatory

CSV, JSON, Parquet File Processing

Mandatory

GCP Data Migration

Mandatory

Data Warehousing & ELT

Mandatory

Power BI

Good to Have

ServiceNow

Optional

📌 Snowflake Data Engineer (Bengaluru)
🏢 Vinovaai Private
📍 Bengaluru