Data Engineering Lead

4 weeks ago

New York, New York, United States Pfizer Full time
Job Summary

Pfizer is seeking a highly skilled Data Engineering Lead to join our team. As a key member of our Enterprise Data and Analytics team, you will be responsible for designing and delivering data products that drive business outcomes. You will work closely with our Digital Partners, Enterprise Architecture, and Business Unit stakeholders to develop and sustain our PGS data strategy and target data architecture.

Key Responsibilities

- Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs
- Develop complex data products that are beneficial for PGS and allow for reusability across enterprise
- Lead/Co-lead a team of contractors that will deliver technical enhancements
- Design automated solutions for building, testing, monitoring, and deploying ETL data pipelines in a continuous integration environment
- Develop internal APIs and data solutions to power applications and promote connectivity
- Expand Pfizer's portfolio of capabilities through coherent APIs for internal users and third parties

Requirements

- BS/MS degree in Computer Science, Engineering or related field
- 5+ years of experience as a Data Engineer / 3+ years of experience as a Data Architect
- OR 5+ years of experience Data warehousing, data modeling, and data transformation
- OR 5+ years of experience designing complex and inter-dependent data models for analytic use cases
- Experienced in Python, SQL, Java, Scala, Pyspark, C, C++, C#, Swift/Objective, or JavaScript
- Experienced with data preparation and ETL: Airflow, DBT, Fivetran, Kafka, Informatica, Talend, Alteryx, etc
- Experience with Software engineering best-practices, including but not limited to version control (Git, TFS, Subversion, etc.), CI/CD (Jenkins, Maven, Gradle, etc.), automated unit testing, Dev Ops
- Experience of Cloud platforms like snowflake, databricks, S3, Redshift, bigquery etc
- Architected end-to-end data pipelines with a cloud or on prem stack

Preferred Qualifications

- Knowledge of Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
- Knowledge of Ontologies and Graph Databases (Neo4j, Titan, etc.) and query syntax is a plus
- Prior experience working for Biotech / Pharma companies is a plus

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