1140 – Manager, Data Engineering Lead

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Our client is a leading research-based biopharmaceutical company. They apply science and their global resources to deliver innovative therapies that extend and significantly improve lives. Every day, colleagues work across developed and emerging markets to advance wellness, prevention,  treatments and cures that challenge the most feared diseases of our time.

ROLE SUMMARY

The Enterprise Platforms & Security (EP&S) organization delivers the following capabilities for Pfizer. Business application platforms supporting Pfizer’s enterprise application and critical business processes. Infrastructure allowing business traffic to travel where it needs to go, internally and externally, along with the appropriate access controls. EP&S secures Pfizer’s most important information assets through world class controls and protections and enables Pfizer’s business results by making security an enabler and not a roadblock to achieving business results.

The Manager Data Engineering Lead is responsible for the development and end-to-end technical hands-on management of the Data Engineering process within the Enterprise Platform and Security Analytics function. The Manager Data Engineering Lead is a hands-on data engineering role which will primarily support our large-scale analytics ecosystem powered by AWS and Splunk. The scope of this role includes a wide range of highly transactional platforms and cybersecurity data sources with diverse collection points and complicated collection methods. Ensuring data reliability, efficiency, and quality is core to this role.

For Pfizer, we look for candidates that are motivated, self-learning, and team-oriented individuals.  From a technical perspective, an ideal candidate would have the skills shown below, but candidates that possess a strong subset and an attitude towards self-development and growth will be considered.

ROLE RESPONSIBILITIES 

• Design, manage, and troubleshoot complex large-scale data engineering methods within a hybrid on premise and cloud hosted environments.
• Utilize vendor apps and develop custom app configurations to standardize and normalize diverse data source types.
• Develop and maintain service patterns used for the data engineering process and data collection methods.
• Partner with internal and external teams to implement solutions which improve data engineering processes and enable automated and/or self-service data onboarding.
• Collaborate with the Service Manager, Data Stewards and customers to support and prioritize business requirements.
• Support the Data Management Lifecycle engineering processes from inception and design through deployment, operation, and optimization.
• Ensure documentation details the methods to collect, triage and backfill data feeds to support monitoring and data resiliency.
• Proactively, continuously assess and identify opportunities to better maintain and reduce ingestion volume.
• Manage technical work activities of contingent worker resources to engineer data and ensure procedures and standards are adhered to.
• Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.
• Support 24×7 oversight of Business as Usual (BAU) operations, along with continual monitoring of the service for quality levels, and response to outages or performance issues with a sense of urgency.
• Participate in incident, problem, and change management processes.

BASIC QUALIFICATIONS

• Bachelor’s degree in Computer Science or physical sciences, master’s degree preferred.
• 5+ years in a hands-on data engineering role.
• Superior analytical and creative problem-solving skills. Demonstrate successes in analysis, conclusions, and improvement.
• Flexible to changing priorities and comfortable in a fast-passed dynamic environment.
• Strong problem-solving abilities with an analytic and qualitative eye for reasoning under pressure.
• Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.
• Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
• Experience in designing, developing, and implementing advanced data collection methods, sizing for data storage, index strategies, ingesting/indexing processes, transforming/normalizing data to common standards, data enrichment and/or anonymization of data upon ingest.
• 2+ years of experience with Unix/Linux operating system