We are seeking a highly motivated Senior Analyst – Data Engineer with strong expertise in Snowflake to design, build, and optimize modern data solutions. The candidate will play a key role in data modelling, performance optimization, and implementation of scalable pipelines, while also supporting solution design and mentoring junior team members. This role offers the opportunity to work in a collaborative, cloud-native data environment and grow into advanced architectural and leadership responsibilities

Responsibilities:

1. Solution Architecture & Design

Assist in the design and implementation of scalable Snowflake-based architectures.
Collaborate with senior engineers and business stakeholders to translate requirements into robust technical solutions.
Support integration of Snowflake with cloud storage and third-party tools.

2. Data Modelling & Implementation

Develop and maintain logical and physical data models within Snowflake.
Build and manage ETL/ELT pipelines using Snowflake features and orchestration tools.
Ensure data quality, governance, and lineage in all implementations.

3. Performance Tuning & Optimization

Optimize queries, warehouses, and storage layers for efficiency and cost-effectiveness.
Leverage Snowflake features such as clustering, caching, materialized views, and streams.
Monitor workloads and contribute to performance troubleshooting.

4. Leadership & Mentoring

Mentor junior data engineers/analysts in coding standards, data modelling, and best practices.
Participate in code reviews, peer learning sessions, and knowledge sharing forums.
Support senior managers in data engineering initiatives and technical decision-making.

Skills:

2 to 5 years in the Data Engineering domain

• 2+ years of hands-on experience with Snowflake, including: o Schema design, role-based access, query optimization o Snowflake advanced features: Time Travel, Streams, Tasks, Materialized Views • Strong skills in SQL and at least one programming language (Python / PySpark). • Solid understanding of ETL/ELT processes and data warehousing principles. • Experience integrating Snowflake with cloud storage (AWS S3, Azure Blob, or GCS). • Familiarity with version control (Git) and CI/CD practices. • Exposure to orchestration tools (Airflow, dbt, Azure Data Factory, Step Functions). • Knowledge of real-time/near real-time ingestion (Snowpipe, Kafka, Kinesis). • Awareness of data governance, security, and cost optimization practices in Snowflake. • Hands-on experience in Agile/Scrum delivery. • Interest in leadership and growing into architectural roles.

Job Snapshot

Updated Date

05-01-2026

Job ID

J_4347

Location

Chennai, Tamil Nadu, India

Experience

2 - 5 Years

Employee Type

Permanent

More Jobs at LatentView Analytics

Senior Analyst - Data Science

Chennai, Tamil Nadu

Experience: Not specified

Salary: Not disclosed

Senior Analyst - Data Science

Chennai, Tamil Nadu

Experience: Not specified

Salary: Not disclosed

Senior Analyst

Chennai, Tamil Nadu

Experience: Not specified

Salary: Not disclosed

Senior Analyst

Chennai, Tamil Nadu

Experience: Not specified

Salary: Not disclosed

Assistant Manager

Chennai, Tamil Nadu

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

LatentView Analytics

Login to

Please Verify Your Phone or Email

Confirm Action

Senior Analyst