Brazil Job Openings

Johnson & Johnson

Principal Cybersecurity Data Engineer - São José dos Campos or São Paulo, Brazil

São José dos Campos

October 28, 2024

Johnson and Johnson is recruiting for a Principal Cybersecurity Data Engineer - São José 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 if the Company approves.
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, thriving 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 across the world 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) organisation which will work at the intersection of Cybersecurity, Data Engineering, and Data Science.
The Principal Cybersecurity Data Engineer - São José dos Campos or São Paulo, Brazil will be focused on the 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 Processes.
Responsibilities:
  • Engage with customers to frame and understand their data use cases & value propositions.
  • Develop scalable and automated data pipelines and data models for a variety of Cybersecurity threat detection 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, overseeing the design of data modelling and handling procedures to ensure compliance with all applicable laws and policies.
  • Working with stakeholders 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
  • Advanced 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)
  • Advanced knowledge of Python and Py Spark with at least 5 years experience of in 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)
  • Experience with data modelling/architecture, able to develop data mart, star schema and related ETL
  • Knowledge of IT technical infrastructures (Network, IAM, Endpoints, …)
  • Proven experience in all phases of leading data projects including problem definition, solution formulation, model building, productizing, and delivering measurable impact.
  • Strong GIT / Code version controlling experience, knowledge of the overall related tools, commands, workflows
  • Working experience with different file formats: JSON, parquet, CSV, text
  • Strong communicator with excellent verbal and written presentation skills - able to evangelize data informed decision-making at all levels.
  • Ability to work independently, in fast paced environment and prioritize in parallel while managing expectations.
  • Must have a strong customer service orientation, eye for business value, and a bias for action.
Preferred
  • Experience with Security Information and Event Management (SIEM) platforms including Microsoft Sentinel
  • Experience working with Security Technology solutions including EDR, NDR, MDR, or XDR
  • Experience with developing data models for Cybersecurity threat and risk detection and monitoring.
  • An advanced degree is preferred.
  • Knowledge of Terraform, Dev Ops 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 cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and those 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 on disability.
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 Manager of Data Engineering in Sao Jose Dos Campos, Brazil. 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 if the Company approves.
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, thriving 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 across the world 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) organisation which will work at the intersection of Cybersecurity, Data Engineering, and Data Science.
The manager of Data Engineering will be focused on the 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 Processes.
Responsibilities:
  • Engage with customers to frame and understand their data use cases & value propositions.
  • Develop scalable and automated data pipelines and data models for a variety of Cybersecurity threat detection 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, overseeing the design of data modelling and handling procedures to ensure compliance with all applicable laws and policies.
  • Working with stakeholders 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
  • Advanced 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)
  • Advanced knowledge of Python and Py Spark with at least 5 years experience of in 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)
  • Experience with data modelling/architecture, able to develop data mart, star schema and related ETL
  • Knowledge of IT technical infrastructures (Network, IAM, Endpoints, …)
  • Proven experience in all phases of leading data projects including problem definition, solution formulation, model building, productizing, and delivering measurable impact.
  • Strong GIT / Code version controlling experience, knowledge of the overall related tools, commands, workflows
  • Working experience with different file formats: JSON, parquet, CSV, text
  • Strong communicator with excellent verbal and written presentation skills - able to evangelize data informed decision-making at all levels.
  • Ability to work independently, in fast paced environment and prioritize in parallel while managing expectations.
  • Must have a strong customer service orientation, eye for business value, and a bias for action.
Preferred
  • Experience with Security Information and Event Management (SIEM) platforms including Microsoft Sentinel
  • Experience working with Security Technology solutions including EDR, NDR, MDR, or XDR
  • Experience with developing data models for Cybersecurity threat and risk detection and monitoring.
  • An advanced degree is preferred.
  • Knowledge of Terraform, Dev Ops 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 cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and those 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 on disability.
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

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