Database Engineer |Snowflake| Databricks|

Job highlights
Identified by Google from the original job post
Qualifications
Expert with Snowflake, Databricks, AWS, and Azure Cloud platforms
Experience as an SAP IQ DBA
Hands-on expertise with Snowflake utilities such as SnowSQL, SnowPipe, SnowPark, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, stored procedures
Snowflake SQL Writing SQL queries against Snowflake Developing scripts Java, Python, Scala, etc
to do Extract, Load, and Transform data
Experience with Database design and architecture patterns
Experience in Data warehousing, OLAP systems, Dimensions, Facts, and Data modeling
Benefits
This position offers a comprehensive benefits package that includes medical, dental, vision, disability, and life insurance, plus 401(k) with matching, weekly payment, and more
Responsibilities
Work will be 100% remote
The Database Engineer will be focused on building automation pipelines around database platforms (on-prem and cloud) which will require programming skills (Shell scripting/Python) and Database knowledge
The Database Platforms Services, Analytics team is looking for a proactive, enthusiastic, and knowledgeable individual who is a self-starter and is passionate about Engineering Database solutions
Design and Architect database solution on Snowflake, AWS, Azure and Databricks
Manage and optimize the performance, security, and reliability of databases in the Snowflake Data Cloud platform
Planning and managing disaster recovery strategies and data retention policies
Deploying, right-sizing, and managing Snowflake virtual warehouses
Implement and manage security measures like data encryption, access controls, network policies
Automate standard Database processes using Unix Shell scripting/Python
Develop new automation scripts in python and write unit cases
In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure
Job description
Our client, an industry leader in financial services and technology, has an excellent opportunity for a Database Engineer to work on a 12+month contract role. Work will be 100% remote. The Database Engineer will be focused on building automation pipelines around database platforms (on-prem and cloud) which will require programming skills (Shell scripting/Python) and Database knowledge.

This position is a contract opportunity, open to W-2 applicants and those requiring sponsorship. This position offers a comprehensive benefits package that includes medical, dental, vision, disability, and life insurance, plus 401(k) with matching, weekly payment, and more.

Responsibilities of the Database Engineer (Snowflake, Databricks):
• The Database Platforms Services, Analytics team is looking for a proactive, enthusiastic, and knowledgeable individual who is a self-starter and is passionate about Engineering Database solutions.
• Design and Architect database solution on Snowflake, AWS, Azure and Databricks.
• Manage and optimize the performance, security, and reliability of databases in the Snowflake Data Cloud platform.
• Planning and managing disaster recovery strategies and data retention policies.
• Deploying, right-sizing, and managing Snowflake virtual warehouses.
• Implement and manage security measures like data encryption, access controls, network policies.
• Automate standard Database processes using Unix Shell scripting/Python.
• Develop new automation scripts in python and write unit cases.

Requirements of the Database Engineer (Snowflake, Databricks):
• Expert with Snowflake, Databricks, AWS, and Azure Cloud platforms.
• Experience as an SAP IQ DBA.
• Hands-on expertise with Snowflake utilities such as SnowSQL, SnowPipe, SnowPark, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, stored procedures.
• Snowflake SQL Writing SQL queries against Snowflake Developing scripts Java, Python, Scala, etc. to do Extract, Load, and Transform data.
• In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure
• Experience with Database design and architecture patterns.
• Experience in Data warehousing, OLAP systems, Dimensions, Facts, and Data modeling.

Preferred Skills:
• Bachelor’s degree in information systems, Mathematics, or related subject

Job ID: 386675