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ROLE SUMMARY
The Manager, Analytics 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, Analytics Data Engineering Lead is a hands-on data engineering role which will primarily support our large-scale data repository powered by Splunk and other analytic and data platforms. The scope of this role includes a wide range of highly transactional platform 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 & growth will be considered.
ROLE RESPONSIBILITIES
- Design, manage, and troubleshoot complex large-scale data engineering methods within a hybrid on premise and cloud hosted environment.
- 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 24x7 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.
QUALIFICATIONS
- Bachelor's degree in Computer Science or related discipline, master's degree preferred.
- 5+ years of experience
- 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.
PREFERRED QUALIFICATIONS
- 5+ years in a hands-on data engineering role.
- 4+ years of hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations.
- 2+ years of experience of data engineering in Splunk.
- Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
- Experience Implementing AWS automation services and process build to create syslog and HEC ingestion into AWS for processing and optimized data flow.
- Extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies
- 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.
- Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
- Experience transforming large datasets into consumable assets for self-service analytics and reporting.
- Familiar with Machine learning concepts.
PHYSICAL/MENTAL REQUIREMENTS
No special physical requirements. Applicants should be capable of working through a personal laptop computer or mobile device for extended periods.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Periodic international and domestic travel required.
- Eligible for Employee Referral Bonus
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.