"Senior Database Engineer" - Reading, PA (Hybrid Onsite) - CG

Role: Sr. Database Engineer (NoSQL)

Locations: Reading, PA (Hybrid Onsite)

Duration: 12+ Months Contract

Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.

Updates:

• Must have experience in EDB Postgres.
• Experience working with Infrastructure development (Cloud and Database) is preferred, DevOps experience would not work in this role.
• Need someone with experience in NoSQL databases (database technologies such as PostgreSQL, Redis/ Memory DB, DynamoDB, Aurora/RDS, MySQL, Snowflake, and MongoDB).
• The role is hybrid, but it may require going to the office from Monday - Wednesdays and sometimes on Fridays.

Job Description:

• The primary responsibility of this role is to design and engineer resilient enterprise data platforms, both on-premises and in a multi-cloud hybrid environment, guided by the principles of a well-architected framework.
• This is an individual contributor role that requires collaboration with cross-functional teams across the company to ensure platforms are built for adoption with high standards of performance, scalability, and cost optimization, while leveraging emerging technologies in the data ecosystem.
• The person in this role will support the Data Engineering and Services team's objective to architect and engineer highly resilient and available data platforms in a global multi-cloud hybrid environment

Required Skills:

• 3+ years of experience designing business solutions in a hybrid cloud environment.
• 10+ years of progressive experience in database technologies.
• 5+ years of extensive experience with database technologies such as PostgreSQL, Redis/ Memory DB, DynamoDB, Aurora/RDS, MySQL, Snowflake, and MongoDB.
• 5+ years of experience with cloud databases and public cloud services (AWS, Azure, OCP, OIC, MongoDB Atlas, etc.).
• Strong command of SQL, PowerShell and Unix shell scripting; knowledge of Python and JSON is a plus.
• Proficiency in SQL tools such as TOAD, SQL Developer, PGADMIN, DPA, SnowSQL, MongoDB compass, etc.
• Advanced knowledge of database security, backup and recovery and performance monitoring standards.
• Solid understanding of relational and dimensional data modeling.
• Experience with database migrations and upgrades.
• Experience with both homogeneous and heterogeneous database migrations between cloud and on-premises environments.
• Expertise in modern approaches to designing, building, optimizing, and deploying database workloads in public cloud environments, preferably AWS.
• Skilled in schema design and data modeling.
• Proven ability to drive architectural and security improvements across systems, tools and workflows.
• Passion for automation and optimization of database infrastructure, working effectively with international teams (onsite and offshore).
• Strong written and verbal communication skills, with the ability to present concepts and recommendations to management.
• AWS/ Azure cloud certifications.
• Bachelor’s degree in IT or a related field.