Quantasis
Snowflakes SQL developer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
17 September 2026
What they need
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 protected] with following details
Relevant exp
CTC
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.
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