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Data Architect | Big Data Infrastructure

2 months ago

Philadelphia, Pennsylvania, United States Aramark Full time

Build and Maintain Optimized Data Pipelines for a Leading Service Provider

Aramark is seeking a talented Data Engineer to join our growing team. In this role, you will play a crucial part in designing, developing, and maintaining robust data platforms that power our business insights. You'll work closely with cross-functional teams to ensure efficient data flow, optimize performance, and unlock the full potential of our data assets.

Your Responsibilities:
  • Collaborate with database development teams to design and implement new database programs that meet Aramark's evolving data storage needs.
  • Continuously monitor databases to ensure optimal performance, overseeing system health, resource utilization, and responsiveness.
  • Develop innovative scripts and support programs to enhance data storage capacity and streamline database operations.
  • Analyze database performance metrics and user feedback to identify areas for improvement and implement effective solutions.
  • Troubleshoot database issues, resolve conflicts, and ensure seamless operation of critical systems.
  • Provide technical guidance and mentorship to other database administrators, fostering a culture of knowledge sharing and best practices.
  • Adhere to industry-leading security protocols to safeguard sensitive data, implement robust backup and archiving procedures, and meticulously document all database-related processes.
Your Qualifications:
  • Bachelor's degree in a technology field such as information systems, information technology, computer science, or a related discipline.
  • Minimum of 5-6 years of hands-on experience in database engineering and design.
  • Proven experience working with databases, data pipelines, and managing data warehouses.
  • In-depth knowledge of Structured Query Language (SQL).
  • Cloud computing expertise with Microsoft Azure.
  • Familiarity with relational database design and data normalization concepts.
  • Proficiency in programming languages such as Python or Java.
  • Experience with big data technologies such as Snowflake, or others.
  • Understanding of various database management systems, both relational and non-relational.