Snowflakes SQL developer

Snowflake SQL Developer Role

**Experience:** 3 to 4 Years Relevant Experience

**Position Type:** Full-Time

**Joining:** Immediate Joiners Only

**Work Mode:** Work From Office BKC Location

**Location Preference:** Mumbai-based candidates only NO RELOCATION

Email your resume on [email removed] with following details

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EXP CTC

JOINING AVAILABILITY

HOME LOCATION IN MUMBAI

## About the Role

We are looking for a skilled **Snowflake Developer / Data Engineer** with 34 years of relevant experience in data engineering, data warehousing, and cloud data platforms.

The ideal candidate should have strong hands-on expertise in **Snowflake, SQL, ETL/ELT pipelines, Python, and cloud platforms**, with the ability to work on scalable data solutions, performance optimization, production support, and data governance.

## Key Responsibilities

• Design, develop, optimize, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
• Develop and manage ETL/ELT workflows for integrating data from multiple sources.
• Implement Snowflake features including **Streams, Tasks, Snowpipe, Dynamic Tables, Materialized Views, Time Travel, and Zero-Copy Cloning**.
• Develop efficient SQL queries and perform query optimization and performance tuning.
• Work on data modelling using **Star Schema, Snowflake Schema**, and other dimensional modelling techniques.
• Implement and manage **RBAC, security controls, and access policies** within Snowflake.
• Monitor data pipelines and provide production support, troubleshooting, and root-cause analysis.
• Optimize Snowflake workloads for both **performance and cost efficiency**.
• Develop Python scripts and automation for data processing and operational activities.
• Work with cloud platforms such as **AWS, Azure, or GCP**, including cloud storage services such as Amazon S3.
• Follow data governance, metadata management, security, and data quality best practices.
• Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions.

## Required Technical Skills

• **3–4 years** of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms.
• Strong hands-on experience with **Snowflake**.
• Excellent expertise in **SQL and query optimization**.
• Strong understanding of data warehousing and data modelling concepts.
• Experience with scalable **ETL/ELT pipelines**.
• Proficiency in **Python** for automation and data processing.
• Experience with **AWS / Azure / GCP** and cloud storage platforms, preferably S3.
• Hands-on understanding of:

* Snowflake Streams & Tasks

* Snowpipe

* Dynamic Tables

* Time Travel & Zero-Copy Cloning

* Materialized Views

* RBAC & Security Management

* Performance Tuning

* Cost Optimization

• Experience in production support, monitoring, troubleshooting, and RCA.
• Understanding of data governance, metadata management, and security best practices.

## Preferred Skills

• Exposure to **Snowflake Cortex AI** capabilities.
• Knowledge of **OpenMetadata, Collibra**, or other metadata management platforms.
• Experience with orchestration tools such as **Apache Airflow**.
• Exposure to modern cloud-based data engineering architectures.

## Candidate Profile

• Strong analytical and problem-solving skills.
• Good understanding of enterprise data environments.
• Ability to independently troubleshoot and resolve data-related issues.
• Strong communication and collaboration skills.
• Comfortable working in a fast-paced, production-oriented environment.