VS01501 - Senior Snowflake Data Developer

E4 Software Services Pvt Ltd.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

A software services provider in Bengaluru seeks experienced professionals with 6-10 years of expertise in Snowflake, SQL, and data modeling. Candidates should be technically strong in Python and Pyspark, familiar with Agile practices, and must be able to join immediately or within 30 days. Strong analytical, problem-solving, and communication skills are essential.

Qualifications

• 6-10 years of experience with Snowflake, either migration or implementation.
• Expert in SQL and SnowSQL with performance tuning skills.
• Knowledge of data modeling principles.
• Experience with Snowflake concepts and features.
• Snowflake concepts: Virtual warehouse sizing, zero copy clone, data sharing
• Streams & Tasks, Time travel, Secure Data sharing
• Knowledge of DMF, iceberg tables, Dynamic Tables, Micro Partition
• ETL integration and data ingestion, conversion, migration
• Python and PySpark
• Exposure to Jira, Confluence and Agile practices
• Client facing experience and strong communication

Skills

SQL

SnowSQL

Data Modeling

Python

Pyspark

Agile practices

Jira

Confluence

Virtual warehouse sizing

Time travel

Secure Data sharing

Streams & Tasks

Iceberg tables

Dynamic Tables

Micro Partition

Query Profiler

Python

PySpark

Jira

Confluence

Agile practices

Tools

Jira

Confluence

Agile practices

Job description

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.
4. Expertise in Snowflake concepts like setting up Data Masking, Tagging, SnowPipe, RBAC controls, virtual warehouse sizing, zero copy clone, data sharing, Streams & Tasks, Time travel, Secure Data sharing, DMF, iceberg tables, Dynamic Tables, Micro Partition, Query Profiler etc.
5. Good to have Snowflake advanced concepts on Cortex AI features, search mechanism etc.
6. Cloud best Practice adoption, strategy development
7. In depth knowledge of Snowflake Virtual Warehouse, Monitoring Warehouse, Table Structures, Views, Materialized Views, Cloning etc.
8. Knowledge on Integration (ETL) and Data Ingestion, Data Conversion, and Data Migration.
9. Technically strong in Python, Pyspark
10. 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.