Job Id: 3260 L4

Duration: 12 Months

Location: Remote

Title: Snowflake Architect DBA, SAP IQ / DB2 Administration, ETL, SQL, Data Modeling, Shell, OLAP, Cloud - 12+ Mths 100% Remote

Description:

Can be fully remote. Preference to have candidate local to Alpharetta, Chicago, New York, New Jersey, or California MS offices.

Description:

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.

This position 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.

Primary Responsibilities:

• Design and Architect database solution on Snowflake data cloud platform, 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, and network policies.
• Automate standard Database processes using Unix Shell scripting/Python.
• Develop new automation scripts in python and write unit cases.
• Enhance/troubleshoot existing Unix shell scripts.

Skills Required:

• Expert in programming and has automation mind set.
• Expert with Snowflake, AWS and Azure Cloud platforms.
• 7+ years of experience as a Snowflake Architect/DBA.
• 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, and 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 principles
• Experience with Database design and architecture patterns.
• Experience in Data warehousing - OLAP systems, Dimensions, Facts, and Data modeling.
• Experience gathering and analyzing system requirements.
• 7+ years of hands-on experience designing and implementing production grade data warehousing solutions on large scale data technologies such as Snowflake, DB2, and SAP IQ.