Data Integration Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Enterprise Platforms & Security (EP&S) team 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 Data Integration Engineer plays a key role in the design, enablement, enhancement, and management of data integration and data quality in support of analytic solutions. The Data Integrations Engineer works closely with customer liaisons and Business Analysts on gathering customer data and information requirements as a key enabler of data transformation solutions. As the Data Integration Engineer the colleague will be accountable for leading data integration activities to enable advanced, innovative, and scalable database services and data platforms for data engineering, AI, analytics, business intelligence & insights.

ROLE RESPONSIBILITIES

• Partner with relevant teams to gathering customer data and information requirements as a key enabler of data transformation
• On-board new data feeds/conversions including data analysis, data mapping, testing and implementation
• Query data sources and databases to isolate data anomalies and provide recommendations for how those anomalies should be handled
• Participate in developing solutions by incorporating cloud native and 3rd party vendor products
• Design, write, test, and deploy production-grade code

• Coach members, share knowledge, and support the continuous development of our tooling within the broader team

BASIC QUALIFICATIONS

• BS in computer science, data science, or an engineering field.
• Minimum 3 years of experience with data integration patterns and related challenges
• Hands on experience in one or more languages such as Java, Python, Golang
• Hands on experience with data lakes, ETL, and related technology such as Redshift, Glue, CloudTrail, Cloudwatch, Aurora, Lambda, Spark and other AWS services
• ETL and Java/Python/R/Scala skillsets.
• Practical knowledge of relational (e.g., PostgreSQL) and document (e.g., MongoDB) databases
• Must be familiar with Agile methodologies and able to work in an Agile manner

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