VS01501 - Senior Snowflake Data Developer

E4 Software Services Pvt Ltd.; India; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

A leading software services provider in India is seeking an experienced candidate with 6-10 years of expertise in Snowflake implementations. Key responsibilities include optimizing query performance and implementing data sharing protocols. Expertise in SQL and Python is essential, with a preference for candidates who can join immediately. Strong analytical, communication, and client-facing skills are required.

Qualifications

• Minimum 6 – 10 years of work experience with at least two projects implementation leveraging Snowflake.
• Expert level knowledge in SQL, SnowSQL, query optimization, and performance tuning.
• Knowledge of data modelling principles and techniques.
• Expertise in Snowflake features: data masking, tagging, SnowPipe, RBAC, virtual warehouses, cloning, data sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, iceberg tables, Dynamic Tables, Micro Partitions, Query Profiler.
• Knowledge of Cortex AI features, search mechanisms, and cloud best practices.
• Exposure to Jira, Confluence and Agile practices.

Responsibilities

• Implement Snowflake solutions including migration and fresh implementations.
• Optimize query performance and implement data sharing protocols.
• Lead cloud best practice adoption and strategy development.
• Collaborate with engineering and analytics teams; drive data ingestion, conversion, and migration efforts.
• Utilize Python and PySpark for data processing tasks; apply best-practice in ETL design.
• Coordinate with stakeholders; peer review documentation and ensure quality deliverables.

Skills

SQL

SnowSQL

Data Modelling

Python

Pyspark

Agile practices

Client communication

Data Migration

RBAC / Security

Time Travel

Snowflake Architecture

Tools

Jira

Confluence

DBT

Job description

1. Minimum 6 – 10 years of work experience with at least two projects implementation leveraging Snowflake - either migration from traditional DWHs or a fresh implementation

2. Expert level knowledge in SQL, SnowSQL, query optimization, performance tuning etc.

3. Data Modelling: Knowledge of data modelling principles and techniques.

5. Expertise in Snowflake concepts like setting up Data Masking, Tagging, SnowPipe, RBAC controls, virtual warehouse sizing, zero copy clone, data sharing, Snow pipe, Streams &Tasks, Time travel, Secure Data sharing, DMF, iceberg tables, Dynamic Tables, Micro Partition, Query Profiler etc.

6. Good to have Snowflake advanced concepts on Cortex AI features, search mechanism etc.

7. Cloud best Practice adoption, strategy development

8. In depth knowledge of Snowflake Virtual Warehouse, Monitoring Warehouse, Table Structures, Views, Materialized Views, Cloning etc.

9. Knowledge on Integration (ETL) and Data Ingestion, Data Conversion, and Data Migration.

10. Technically strong in Python, Pyspark

11. Exposure to tools like Jira, Confluence and Agile practices

Good to have skills:

• Good to have Snowflake Certification
• Good to have working experience on DBT
• Has peer reviewed documentation
• Good analytical, problem-solving and synthesizing skills.
• Good Communication and interpersonal skills
• Client facing experience required
• Has reviewed Functional Specification document and written technical specification document
• Well-developed business acumen
• Strong problem-solving skills
• Strong sense of ownership and accountability of tasks with attention to detail

Priority would be resources who can join immediately or max30 days’ notice period.