Sr Snowflake Data Engineer
Sr Snowflake Data Engineer
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Job Description
What you get to do in this role:
In this role you will leverage your prior experience and industrystandard best practices to analyze crossfunctional data and provide insights to business teams with key responsibilities in the below area:
Data Analysis & Design:
Leverage prior experience and industrystandard best practices to analyze crossfunctional data and provide insights to business teams. Assist stakeholders with data analysis design data structures like Tables Views and procedures in Snowflake to meet business needs.
Implementation & Processes:
Implement snapshot processes data refresh schedules and exception handling procedures as necessary. Define required data integration requirements between various systems and work with an extended team to get them created. Follow all documented architecture design and deployment processes to ensure compliance with policies.
Subject Matter Expertise:
Develop functional subject matter expertise within various areas of enterprise business processes. Collaborate with teams to translate business requirements and get appropriate data solutions developed to meet the business need. Partner with the Global BI team to help implement solutions for enduser adoption.
Qualifications :
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes decisionmaking or problemsolving. This may include using AIpowered tools automating workflows analyzing AIdriven insights or exploring AIs potential impact on the function or industry.
- Bachelors degree or equivalent in Computer Science Computer Engineering Information Systems or similar.
- Experience: 7 years of documented experience in writing strong SQL and PLSQL in data warehouse technologies with a minimum of 3 years in Snowflake.
- Deep Knowledge on Clustering and Partitioning Materialized Views Time Travel and Failsafe Data Sharing and Data Marketplace Streams and Tasks
- Query Optimization Techniques Snowpipe Advanced Data Security Features Advanced User Management and RoleBased Access Control (RBAC)
- Advanced API and Integration Techniques Apache Kafka ETL tools (e.g. Matillion Fivetran) and BI tools using Snowflakes native connectors and thirdparty APIs.
- Cloud Awareness Implement and manage data solutions on Cloud Platforms primarily on the Microsoft Azure cloud platform including cloud data pipeline/nearrealtime/batch loads/flow orchestration.
- Data Observability to understand the health and performance of data pipelines in realtime.
- Strong in building data pipelines database design & development writing optimized queries handling Facts and dimension data effectively.
- Experience in adhoc data analysis and solution design
- Adhere to framework standards on scalability restart ability error logging and manageability
- Strong in Star Schema / Dimensional Modelling able to implement a solution and convert existing logical to physical data models.
- GenAI Readiness Awareness of GenAI and Models Use Synthetic Data and relevant data structures to train models.
- Strong understanding of ML Platforms ( Azure / Databricks)
- Ability to write complex SQL scripts perform query tuning and benchmarking.
- Proficiency in at least one relevant programming language (e.g. Python) including SQL skills.
- Excellent communication skills with the ability to work individually and in a broader geographically dispersed team.
- Experience on developing solutions on the ServiceNow platform will be a big plus
- Snowflake core advanced certification is a plus
JV20
Not sure if you meet every qualification We still encourage you to apply! We value inclusivity welcoming candidates from diverse backgrounds including nontraditional paths. Unique experiences enrich our team and the willingness to dream big makes you an exceptional candidate!
Additional Information :
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law. In addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
