Cloud Data Engineer AWS

JR Spain; Madrid; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

JR Spain is seeking experienced AWS Engineers to drive innovation in data ingestion and management for AI models. You will implement robust data pipelines, automate infrastructure, and ensure system performance. Ideal candidates are proficient in AWS platforms, have strong scripting skills, and a solid understanding of data security and governance.

Formación

• Experience in implementing data ingestion and management pipelines.
• Strong understanding of data architecture.
• Knowledge in OLTP, OLAP, and Data Vault 2.0 methodologies.

Responsabilidades

• Implement data ingestion and management pipelines for deploying AI models.
• Automate infrastructure provisioning and management.
• Monitor system performance and optimize resource usage.

Conocimientos

Data modeling & warehousing

Proficient AWS cloud platforms knowledge

Scalable and robust data pipeline construction

Strong scripting and automation skills

Strong knowledge of SQL and Python

Strong understanding of data security, compliance and governance

Basic knowledge of Infrastructure-as-code

Experience in version control tools

Strong analytical skills

Descripción del empleo

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Indegene is a global consultancy at the forefront of driving innovation in the Pharmaceutical and Life Sciences industry, through combining medical and commercial expertise with innovative digital and AI technologies.

We enable global healthcare organizations address complex challenges and drive better health and business outcomes by seamlessly integrating analytics, technology, operations, and medical expertise. Find out more at indegene.com

Who are you?

We are looking for experienced AWS Engineers for

• Implement Data Ingestion and management pipelines for deploying AI models and data pipelines.
• Implement and oversee data modeling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies.
• Automate infrastructure provisioning and management.
• Monitor system performance and optimize resource usage.
• Strong understanding of data architecture

Required knowledge:

• Data modeling & warehousing.
• Proficient AWS cloud platforms knowledge.
• Scalable and robust data pipeline construction and ETL tools such as DMS, Glue, Lambda, AppFlow.
• Strong scripting and automation skills.
• Strong knowledge of SQL and Python (in particular pandas and PySpark).
• Strong understanding of data security, compliance and governance.
• Basic knowledge of Infrastructure-as-code, in particular Terraform and CloudFormation.
• Experience in version control tools, in particular Azure DevOps.
• Strong analytical skills to effectively analyze data requirements and troubleshoot data-related issues. Good documentation and coaching practice.

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.