200+ applicants

Company

Original Job Post

McKesson · 4 days ago

Site Reliability Engineer - Cloud Data Operations

United States

Full-time

Remote

Mid Level

2+ years exp

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Responsibilities

Provide production support and troubleshooting for multiple databases and systems responsible for data replication and transformation

Assist with migration and implementation of new systems in the cloud

Recommend and make improvements to existing systems and processes to improve reliability, security, and scalability

Write program/code in SQL and / or cloud-based tools such as Snowflake or Databricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting

Work with the application development teams to determine data flow in the source system and architect an appropriate flow into the data warehouse

Under the guidance of a senior engineer, design and develop solutions and commissions of complex data across systems for McKesson/CoverMyMeds internal and external customers

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonData WarehousingCloud TechnologyRelational DatabasesDatabricksDatabase AdministrationPerformance OptimizationVMsDockerKubernetesLinuxWindowsStructured DataUnstructured DataBatch ProcessingReal-time Data StreamingSystems IntegrationData GovernanceSensitive Data HandlingIT General ControlsBusiness-critical ApplicationsLarge-scale ImplementationSnowflakeQlik ReplicateMSSQL ServerProblem-SolvingCommunicationActive ListeningCollaboration

Required

Bachelor's degree in Computer Science, Information Systems, or related field

2+ years of technical and professional experience

Strong, hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases

1-2 years' experience with Spark and Databricks

Database administration and performance optimization for Databricks

Experience with cloud data technologies including VMs, Docker/Kubernetes applications, and distributed networks with different operating systems such as Linux and Windows

Worked with structured and unstructured data and within batch and real-time data streaming environments

Experience supporting Reporting and Analytics, Real-time Analytics, Systems Integration, and Data Governance

Proficient use of Python for data flows and scripting of administrative tasks

Experience working with sensitive data with regularly audited IT General Controls

Experience with business-critical applications

Experience on large-scale implementation programs

Preferred

Experience with Snowflake, Qlik Replicate, MSSQL Server are a plus

Experience with Delta Lake administration is a plus

Excellent written and verbal communication skills; timely communication with clear expectations. An active listener and clear communicator; can lead by influence

Ability to find creative solutions to complex problems

Exhibit a strong sense of urgency and ownership for task/project completion

Highly adept at working collaboratively across multiple business and technical functions to achieve results