Snowflake Data Engineer
3 days ago
Snowflake Data Engineer
Overview
We are seeking a highly skilled and motivated
Snowflake Data Engineer
to design, develop, and maintain our scalable and high-performance data pipelines and warehousing solutions on the Snowflake platform. The ideal candidate will be an expert in data modeling, SQL, and Python, with deep, hands-on experience in
Snowflake architecture
and its advanced features.
Key Responsibilities
·
Design and Development:
Design, implement, and optimize robust
data pipelines
using
Python
and advanced
SQL
to ingest, transform, and load data into Snowflake.
·
Snowflake Expertise:
Utilize advanced Snowflake features, including
Snowflake Pipe
(for continuous data loading), Streams, Tasks, and External/Internal Stages.
·
Architecture:
Leverage a deep understanding of the
Snowflake architecture
(compute vs. storage, virtual warehouses, micro-partitions, etc.) to ensure optimal performance and cost management.
·
ETL/ELT:
Develop and maintain
ELT processes
for real-time and batch data movement, ensuring data accuracy and reliability.
·
Performance Tuning:
Optimize slow-running queries and data loads using
SnowSQL
commands and Snowflake best practices.
·
Collaboration:
Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
·
Governance:
Implement best practices for data quality, security, and governance within the Snowflake environment.
Required Qualifications (Must-Haves)
·
Experience:
3+ years of professional experience in data engineering, data warehousing, or a related field.
·
Core Languages:
Must have
advanced proficiency in
Python
(for scripting, data manipulation, and pipeline orchestration) and expert-level
SQL
skills.
·
Snowflake Platform:
Deep, demonstrable experience with the
Snowflake
cloud data platform.
·
Snowflake Features:
Hands-on experience implementing and managing
Snowflake Pipe
for continuous data ingestion.
·
Command Line:
Proficiency in using the
SnowSQL
command-line client.
·
Architectural Knowledge:
Strong grasp of the core concepts and components of
Snowflake architecture
.
Preferred Qualifications (Nice-to-Haves)
· Experience with other cloud platforms (AWS, Azure, GCP).
· Familiarity with data governance tools and practices.
· Knowledge of CI/CD pipelines and version control (Git).
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