Jnj Careers – Staff Data Engineer

Job Description:

The Staff Data Engineer role is responsible for data extraction and reports development to support management reporting (metrics), audit, and special projects associated with Quality & Compliance, and business data management.

Job Responsibilities:

• Partner with Process Owners to define and build scalable application using SQL, Python and/or other Azure services
• Work with internal customers to define required data sets and information, support the business teams to solve sophisticated analytical challenges
• Design data integration pipeline for efficient extraction, transformation, and loading of data from Azure data lake using Spark, SQL, NoSQL, Python and other technologies!
• Maintain knowledge of Health Authority regulations to improve team ability to collaborate with key business partners.
• Ensures the quality and integrity of reports. Collaborate with partners to understand and develop requirements
• Translate data and model results into tactical and strategic insights that are accurate, meaningful, understandable and lead to making better decisions
• Know and follow all laws and policies that apply to one’s job, and maintain the highest levels of integrity, ethics and compliance at all times.
• Identify process improvements through benchmarking and connections with other J&J analytics professionals.
• Work closely with data engineers to architect, build, and implement novel tools that enable data science capabilities and support organizational critical initiatives!
• Lead analytics & process-related projects for a quality business. Partner closely with IT and external partners for implementation and execution.

Qualification & Experience:

• Experience working in the medical device industry.
• Experience with Software Development Lifecycle (SDLC) and tools like JIRA, XRAY, Bit bucket
• Experience with Microsoft Azure stack like Synapse, Data Bricks, Data Lake, Data Catalog, SQL Data Warehouse, Data Factory
• A degree concentration in Math, Computer Science, Information Technology or related field or equivalent professional experience
• Experience in developing data models for operational data stores.
• Proficient in crafting Data pipelines for on-cloud ETL processing using Python, SQL, NoSQL, Spark, REST and other tools
• Experience with data pipeline and workflow management tools (Airflow, MLFlow).
• 2-3+ years experience as Data Engineer working with multi-functional teams on enterprise level business intelligence/data analytics implementations using Azure cloud-base platforms.
• Perform work with a high degree of independence in terms of self-management of a large variety of tasks and initiatives regarding Quality.
• A minimum five (5) years of meaningful professional experience in data and analytics.

Job Details:

Company: Johnson & Johnson

Vacancy Type:  Full Time

Job Location: Philadelphia, PA, US

Application Deadline: N/A

Apply Here

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