Snowflake Data Engineer INFYSYJP00007376

NITYO; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Part time

Job summary

NITYO is seeking a Snowflake Data Engineer to design and implement enterprise-scale data warehouse solutions using Snowflake, including ELT pipelines and data models. The role emphasizes governance, performance optimization, and cross-team collaboration to support analytics and data science use cases.

Location in Bengaluru, India, with contract engagement and pan-India travel as needed. Strong SQL and cloud experience required; Snowflake expertise is essential for this client-facing position.

Qualifications

• 5+ years of Snowflake-based data engineering.
• Strong expertise in Snowflake Architecture, SnowSQL, and SQL Optimization.
• Experience with Snowpipe, Streams & Tasks, Time Travel, Zero Copy Cloning, Data Sharing, Materialized Views and Secure Views.
• Advanced SQL skills: complex joins, stored procedures, performance tuning, and query optimization.
• Proficiency with cloud platforms (AWS/Azure/GCP) and data integration tools.

Responsibilities

• Design and develop scalable data warehouse solutions using Snowflake.
• Build robust ELT pipelines and data transformation frameworks.
• Develop and optimize Snowflake data models and schemas.
• Implement secure and governed data-sharing solutions.
• Monitor and optimize warehouse performance and costs.
• Support enterprise reporting, analytics and data science use cases.
• Collaborate with multiple teams to define and implement data solutions.
• Ensure data quality, reliability, and compliance standards.

Skills

Snowflake Architecture

SnowSQL

SQL Optimization

Data Warehousing

ELT Development

Streams & Tasks

Time Travel

Zero Copy Cloning

Data Sharing

Materialized Views

Secure Views

Virtual Warehouse Management

Micro-partitioning

Clustering Keys

Snowpark

Data Marketplace

RBAC

Security & Governance

Query Performance Optimization

Python

PySpark

Airflow

dbt

Informatica/Talend/Matillion

Cloud Storage Integration

Tools

Python

PySpark

Airflow

dbt

Informatica

Talend

Matillion

Cloud Storage Integration

Job description

Snowflake Data Engineer INFYSYJP00007376

We are looking for a Snowflake Data Engineer with 5+ years of experience in designing and implementing enterprise-scale cloud data warehouse solutions. The ideal candidate should have strong expertise in Snowflake architecture, SQL development, and cloud-based data engineering.

Key Responsibilities

• Design and develop scalable data warehouse solutions using Snowflake.
• Build robust ELT pipelines and data transformation frameworks.
• Develop and optimize Snowflake data models and schemas.
• Implement secure and governed data-sharing solutions.
• Monitor and optimize warehouse performance and costs.
• Support enterprise reporting, analytics, and data science use cases.
• Collaborate with multiple teams to define and implement data solutions.
• Ensure data quality, reliability, and compliance standards.

Requirements

• 5+ years of experience in Snowflake-based data engineering.
• Strong expertise in:
  • Snowflake Architecture
  • SnowSQL
  • SQL Optimization
  • Data Warehousing
  • ELT Development
• Strong experience with:
  • Snowpipe
  • Streams & Tasks
  • Time Travel
  • Zero Copy Cloning
  • Data Sharing
  • Materialized Views
  • Secure Views
• Advanced SQL skills including:
  • Complex joins
  • Stored Procedures
  • Performance tuning
  • Query optimization
• Snowflake Platform Expertise:
  • Virtual Warehouse Management
  • Micro-partitioning
  • Clustering Keys
  • Snowpark
  • Data Marketplace
  • Role-Based Access Control (RBAC)
  • Security & Governance
  • Query Performance Optimization
• Integration & Pipeline Experience:
  • Python
  • PySpark (preferred)
  • Airflow
  • dbt
  • Informatica / Talend / Matillion
  • Cloud Storage Integration
• Experience in at least one cloud platform:
  • AWS
  • Azure
  • GCP
• Preferred Skills:
  • Databricks integration
  • Real-time data ingestion solutions
  • Kafka
  • Terraform
  • CI/CD implementation
• Soft Skills:
  • Strong analytical and troubleshooting skills.
  • Excellent communication and stakeholder engagement.
  • Ability to work independently in global delivery teams.
  • Strong focus on scalability, performance, and governance.

Work Arrangements

• Location: Bengaluru, Karnataka, India | Hyderabad, Telangana, India
• Type: Contract
• Travel Requirements: Pan India