Principal Data Engineer, São José dos Campos or São Paulo, Brazil.

Johnson and Johnson is recruiting for a Principal Data Engineer in Sao Jose Dos Campos or São Paulo, Brazil. This position may require up to 5% travel (domestic and international).

Remote work options may be considered on a case-by-case basis and if approved by the Company.

Caring for the world, one person at a time has encouraged and united the people of Johnson & Johnson for over 130 years. We embrace research and science — bringing innovative ideas, products, and services to advance the health and well-being of people. At Johnson & Johnson, we believe good health is the foundation of vibrant lives, growing communities and forward progress. That’s why for more than 130 years, we have striven to keep people well at every age and every stage of life. Today, as the world’s largest and most broadly-based healthcare company, we are committed to using our reach and size for good. We strive to improve access and affordability, build healthier communities and put a healthy mind, body and environment within reach of everyone, everywhere. Every day, our more than 130,000 employees worldwide are blending heart, science and ingenuity to profoundly change the trajectory of health for humanity. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to equity. Proud to be an equal-opportunity employer.

We are embarking on a major strategic transformation of our Cyber Security Data Science, Analytics, and Intelligent Automation practice. This is an exciting opportunity to be a member of our J&J Information Security and Risk Management (ISRM) organization which will work at the intersection of Cybersecurity, Data Engineering, and Data Science.

Principal Data Engineer will be focused on engineering and development of automated data pipelines, sophisticated data models, and on-demand analytics for a variety of Cybersecurity use cases including Threat Detection and Monitoring, Cyber Risk Insights and Management, and Vulnerability Management Process.

Responsibilities:

• Engage with customers to frame, understand and bring together their data use cases & value propositions.
• Discoverer their data sources, schemas, business rules and data ingestion options.
• Develop scalable and automated data pipelines and data models for a variety of Cybersecurity threat detection, cyber automation and product metrics use cases.
• Identify, design, implement and support sophisticated data engineering processes for greater scalability, optimizing data delivery, and automating manual processes.
• Document the dataflows, data lineages, code and logic and share them with the team.
• Develop CI/CD Infrastructure as Code streams to bring our data pipelines from sandbox to DEV to PROD environments.
• Identify data governance needs, being responsible for the design of data modelling and handling procedures to ensure compliance with all applicable laws and policies.
• Working with partners including the Executive, Product, SOC, Data, and Design teams to support their data and reporting needs while assisting with data-related technical issues.
• Delivers quality work and outstanding customer service in a high-pressure, fast-paced setting to meet company needs.
• Responsible for key vendor & customer relationships across the platforms and services. Set up and supervise clear product SLA, measurable performance, product health monitoring and continuous improvement.

Qualifications

• Sophisticated knowledge of Azure or Amazon data analytics and engineering technology stack (S3, Glue, Lambda, Step Functions, IAM, Redshift, VPC, Azure Data Explorer, Azure Data Factory, Azure Cosmos DB, Azure ADX, Azure Synapse Analytics or Data Bricks).
• Sophisticated knowledge of Python and PySpark with at least 5 years of experience of developing end-to-end ETL pipelines.
• Sophisticated SQL knowledge and experience with SQL scripting in various DB technologies (MS SQL, Hive/Impala, Oracle, Presto/Athena SQL, Azure KQL).
• Knowledge of IT technical infrastructures (Network, IAM, Endpoints, …).
• Proven experience in all phases of handling data projects including problem definition, solution formulation, model building, productizing, and delivering measurable impact.
• Strong GIT / Code version controlling experience, and knowledge of the overall related tools, commands, and workflows.
• Working experience with different file formats: JSON, parquet, CSV, text.
• Strong communicator with fluent English and excellent verbal and written presentation skills – able to evangelize data-informed decision-making at all levels.
• Ability to work independently, in fast fast-paced environment and prioritize in parallel while managing expectations.
• Must have a strong customer service orientation, an eye for business value, and a bias for action.

Preferred

• Experience with developing data models for Cybersecurity threat and risk detection and monitoring.
• An advanced degree is preferred.
• Knowledge of Terraform, DevOps CI/CD, and Jira
• Hadoop working experience, especially Hive, HDFS, Impala

Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plans, pension plans, disability plans, long-term incentives, vacation pay, sick time, holiday pay, and work, personal and family time off under the terms of the applicable plans. Additional information can be found through the link below.

For additional general information on company benefits, please go to:

• https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through pioneering programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, depending on location and subject to local legislation, candidates offered employment may be required to show proof of COVID-19 vaccination or, in certain countries, secure an approved accommodation before the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. If you are invited to interview for the position, your recruiter will advise on the vaccine requirement status in your geographic location.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against based ondisability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.]

#isrm

QUALIFICATIONS

Johnson and Johnson is recruiting for a Principal Data Engineer in Sao Jose Dos Campos or São Paulo, Brazil. This position may require up to 5% travel (domestic and international).

Remote work options may be considered on a case-by-case basis and if approved by the Company.

Caring for the world, one person at a time has encouraged and united the people of Johnson & Johnson for over 130 years. We embrace research and science — bringing innovative ideas, products, and services to advance the health and well-being of people. At Johnson & Johnson, we believe good health is the foundation of vibrant lives, growing communities and forward progress. That’s why for more than 130 years, we have striven to keep people well at every age and every stage of life. Today, as the world’s largest and most broadly-based healthcare company, we are committed to using our reach and size for good. We strive to improve access and affordability, build healthier communities and put a healthy mind, body and environment within reach of everyone, everywhere. Every day, our more than 130,000 employees worldwide are blending heart, science and ingenuity to profoundly change the trajectory of health for humanity. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to equity. Proud to be an equal-opportunity employer.

We are embarking on a major strategic transformation of our Cyber Security Data Science, Analytics, and Intelligent Automation practice. This is an exciting opportunity to be a member of our J&J Information Security and Risk Management (ISRM) organization which will work at the intersection of Cybersecurity, Data Engineering, and Data Science.

Principal Data Engineer will be focused on engineering and development of automated data pipelines, sophisticated data models, and on-demand analytics for a variety of Cybersecurity use cases including Threat Detection and Monitoring, Cyber Risk Insights and Management, and Vulnerability Management Process.

Responsibilities:

• Engage with customers to frame, understand and bring together their data use cases & value propositions.
• Discoverer their data sources, schemas, business rules and data ingestion options.
• Develop scalable and automated data pipelines and data models for a variety of Cybersecurity threat detection, cyber automation and product metrics use cases.
• Identify, design, implement and support sophisticated data engineering processes for greater scalability, optimizing data delivery, and automating manual processes.
• Document the dataflows, data lineages, code and logic and share them with the team.
• Develop CI/CD Infrastructure as Code streams to bring our data pipelines from sandbox to DEV to PROD environments.
• Identify data governance needs, being responsible for the design of data modelling and handling procedures to ensure compliance with all applicable laws and policies.
• Working with partners including the Executive, Product, SOC, Data, and Design teams to support their data and reporting needs while assisting with data-related technical issues.
• Delivers quality work and outstanding customer service in a high-pressure, fast-paced setting to meet company needs.
• Responsible for key vendor & customer relationships across the platforms and services. Set up and supervise clear product SLA, measurable performance, product health monitoring and continuous improvement.

Qualifications

• Sophisticated knowledge of Azure or Amazon data analytics and engineering technology stack (S3, Glue, Lambda, Step Functions, IAM, Redshift, VPC, Azure Data Explorer, Azure Data Factory, Azure Cosmos DB, Azure ADX, Azure Synapse Analytics or Data Bricks).
• Sophisticated knowledge of Python and PySpark with at least 5 years of experience of developing end-to-end ETL pipelines.
• Sophisticated SQL knowledge and experience with SQL scripting in various DB technologies (MS SQL, Hive/Impala, Oracle, Presto/Athena SQL, Azure KQL).
• Knowledge of IT technical infrastructures (Network, IAM, Endpoints, …).
• Proven experience in all phases of handling data projects including problem definition, solution formulation, model building, productizing, and delivering measurable impact.
• Strong GIT / Code version controlling experience, and knowledge of the overall related tools, commands, and workflows.
• Working experience with different file formats: JSON, parquet, CSV, text.
• Strong communicator with fluent English and excellent verbal and written presentation skills – able to evangelize data-informed decision-making at all levels.
• Ability to work independently, in fast fast-paced environment and prioritize in parallel while managing expectations.
• Must have a strong customer service orientation, an eye for business value, and a bias for action.

Preferred

• Experience with developing data models for Cybersecurity threat and risk detection and monitoring.
• An advanced degree is preferred.
• Knowledge of Terraform, DevOps CI/CD, and Jira
• Hadoop working experience, especially Hive, HDFS, Impala

Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plans, pension plans, disability plans, long-term incentives, vacation pay, sick time, holiday pay, and work, personal and family time off under the terms of the applicable plans. Additional information can be found through the link below.

For additional general information on company benefits, please go to:

• https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through pioneering programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, depending on location and subject to local legislation, candidates offered employment may be required to show proof of COVID-19 vaccination or, in certain countries, secure an approved accommodation before the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. If you are invited to interview for the position, your recruiter will advise on the vaccine requirement status in your geographic location.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against based ondisability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.]

#isrm

Summary

• Job titlePrincipal Data Engineer, São José dos Campos or São Paulo, Brazil.
• FunctionTechnology Enterprise Strategy & Security
• Sub functionSecurity & Controls
• CategoryPrincipal, Security & Controls (ST7)
• LocationSão José dos Campos, São Paulo, Brazil; São Paulo, Brazil
• Date postedNov 07 2024
• Requisition number2406218287W