What are the responsibilities and job description for the Snowflake data Engineer position at Numentica LLC?
Only Locals and GC/USC
As a Snowflake Data Engineer / Expert, you will be
responsible for managing and optimizing our Snowflake data platform. You will
design, develop, and maintain data pipelines, ensure data integrity, and work
closely with Salesforce integration teams and business analysts. This role
requires hands-on experience in Snowflake, ETL/ELT pipeline development, and
strong collaboration with cross-functional teams.
Key Responsibilities:
- Design, develop, and
maintain scalable Snowflake data solutions.
- Build, optimize, and manage
ETL/ELT data pipelines.
- Integrate Snowflake with
Salesforce and other CRM platforms.
- Collaborate with business
and technical teams to gather requirements and deliver data-driven
solutions.
- Implement data quality
checks, monitoring, and error-handling mechanisms.
- Perform advanced data
analysis and deliver insights to business stakeholders.
- Ensure compliance with data
security, privacy, and governance policies.
- Optimize Snowflake
performance, including query optimization and storage usage.
- Automate processes and
workflows to improve efficiency.
Required Qualifications:
- 8 years
of hands-on experience with Snowflake Data Platform and overall 10 years
of IT Experience.
- Snowflake
certifications (SnowPro Core Certification, SnowPro Advanced preferred).
- Proficient in SQL, SnowSQL,
and Snowflake-specific features (Streams, Tasks, Clustering, etc.).
- Experience in integrating
Snowflake with Salesforce (via Salesforce Connect, APIs, or third-party
ETL tools).
- Solid experience in ETL/ELT
tools (e.g., Talend, Fivetran, Informatica, dbt, Matillion).
- Strong understanding of
data modeling, warehousing concepts, and best practices.
- Proficiency in data
analysis, writing complex queries, and delivering actionable insights.
- Experience with cloud
platforms (AWS, Azure, or GCP) and their services related to Snowflake.
- Familiarity with Python,
Java, or other scripting languages is a plus.
- Knowledge of CI/CD
processes and tools related to data pipelines.
- Strong communication and
collaboration skills.
Preferred Qualifications:
- Experience with Salesforce
Data Architecture and APIs.
- Familiarity with Salesforce
objects and schema for seamless integration.
- Experience in data
visualization tools (Tableau, Power BI, CRM Analytics, etc.).
- Exposure to Big Data
technologies and related frameworks.
Hybrid - Los Angeles Downtown
(3 days at office)
