Job Information
J&J Family of Companies Principal Cybersecurity Data Engineer in São José dos Campos, Brazil
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function:
Technology Enterprise Strategy & Security
Job Sub Function:
Security & Controls
Job Category:
Scientific/Technology
All Job Posting Locations:
BR001 São José dos Campos, BR031 São Paulo
Job Description:
Johnson and Johnson is recruiting for a Principal Cybersecurity 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.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
We are embarking on a major strategic transformation of our Cybersecurity Data Science and Analytics 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.
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 PySpark 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, DevOps CI/CD, and Jira
Hadoop working experience, especially Hive, HDFS, Impala