Snowflake Engineer

Role Overview
We are seeking a dynamic Snowake Data Engineer with proven expertise in Snow pipe
data ingestion and foundational experience with Snowake in an AWS Cloud environment.
This role is hands-on, focusing on building, optimizing, and modernizing data pipelines for
large-scale analytical platforms.

Key Responsibilities

Design, develop, and maintain Snow pipe-based automated data ingestion
pipelines from diverse enterprise sources.
Integrate new data assets (structured & semi-structured) into Snowake using
cloud-native services and ETL tools.
Optimize pipeline performance, reliability, and monitoring to ensure timely and
accurate data availability.
Collaborate with Data Architects, business analysts, and application teams to
translate requirements into scalable data workows.
Troubleshoot, debug, and support Snow pipe ingestion jobs in production
environments.
Implement basic data modeling and partitioning strategies in
Snowake (fact/dimension tables, streams, tasks).
Ensure cloud best practices for security, cost management, and compliance in an
AWS-hosted Snowake instance.
Document technical specications, data ow diagrams, and operational runbooks.

Required Skills & Experience

3+ years hands-on experience as a Data Engineer in cloud or enterprise
environments.
Practical expertise building Snow pipe data ingestion pipelines (creation,
conguration, scheduling, troubleshooting).

Basic understanding of Snowake architecture in AWS:

Warehouses, roles, resource monitors
Connecting Snowake to S3 buckets
Data sharing and integration features
Strong SQL development skills (DML, DDL, query optimization).
Experience with ETL/ELT tools (dbt, Informatica, Talend, Matillion, or cloud-native
alternatives).

Familiarity with scripting languages: Python preferred (for orchestration,
transformation, or error handling).

Experience working with semi-structured data formats (JSON, Parquet, Avro).
Basic AWS Cloud knowledge:

Understanding of S3, IAM, and networking concepts
Working with AWS-based Snowake deployments

Excellent problem-solving and communication skills.

Preferred/Bonus Skills

Experience with streaming data integration (Kafka, Kinesis) into Snowake.
Exposure to Snowake utilities: Streams, Tasks, Materialized Views.
Familiarity with data monitoring and alerting tools.
SnowPro Core Certication (optional).

Education
Bachelors degree in computer science, Engineering, Information Systems, or
related eld.