Data Science Lead

Há 1 mês

São José dos Campos SP, Brasil Johnson & Johnson Tempo inteiro

Johnson and Johnson is recruiting for a Data Science Lead in Sao Jose Dos Campos and 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, thriving communities and forward progress. That’s why for more than 130 years, we have aimed 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, create 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) organization who will work at the intersection of Cybersecurity, Data Engineering, and Data Science.

The Data Science Lead 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 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 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 modeling 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**:

- Expert in Python and PySpark knowledge with at least 5 years experience of developing end to end ETL pipelines
- Expert SQL knowledge and experience with SQL scripting in various DB technologies (MS SQL, Hive/Impala, Oracle, Presto/Athena SQL, Azure KQL)
- Solid understanding in either Azure or AWS 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)
- Working experience with different file formats: JSON, parquet, CSV, text
- Strong GIT / Code version controlling experience, knowledge of the overall related tools, command, workflows
- Strong data modelling / architecture, able to develop data mart, star schema and related ETL
- Knowledge of IT technical infrastructures (Network, IAM, Endpoints,)
- Demonstrated experience in all phases of managing data projects including problem definition, solution formulation, model building, productizing, and delivering measurable impact.
- Good communicator with excellent verbal and written presentation skills - able to voice support for data informed decision-making at all levels.
- Ability to work independently, in fast paced environment and prioritize in parallel while leading expectations.
- Must have a strong customer service orientation, 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

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