Technical Lead- Data Engineering (Real World Data)

F. Hoffmann-La Roche Gruppe; Mississauga; On-site; CAD 100,000 - 130,000; Full time

Job summary

Une entreprise innovante se concentre sur des solutions de données pour transformer les soins de santé. Le poste de Technical Lead - Data Engineer implique la gestion de pipelines de données complexes et l’expertise en AWS et Python. Si vous avez une solide expérience en ingénierie des données et que vous aimez diriger des équipes multiculturelles, rejoignez-nous.

Qualifications

• 5-7+ years experience with data engineering.
• Hands on experience as Data Engineering in Cloud Data Solutions (AWS).
• Experienced in ETL/ETL technologies.

Responsibilities

• Oversee technical team and provide guidance for development.
• Develop Multi-Modal Data Ingestion Pipeline for new datasets.
• Work on Cloud based Data warehouse and Database.

Skills

AWS Cloud

ETL

Python

SQL

Data Engineering

Education

Bachelors in related fields (Computer Science, Computer Engineering)

Tools

Snowflake

Apache Airflow

AWS Glue

Redshift

Docker

Job description

Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte.

La position

A healthier future. That’s what drives us.

In Roche Informatics, we build on Roche's 125-year history as one of the world's largest biotech companies, globally recognized for providing transformative innovative solutions across major disease areas. We combine human capabilities with cutting-edge technological innovations to do now what our patients need next. Our commitment to our patients' needs motivates us to deliver technology that evolves the practice of medicine.

Be part of our inclusive team at Roche Informatics, where we're driven by a shared passion for technological novelties and optimal IT solutions.

The Opportunity:

Technical Lead - Data Engineer, who will work closely with multi-disciplinary and multi-cultural teams to build structured, high-quality data solutions. The Technical Lead will work closely with key stakeholders, Data Scientists, Analysts and RWD Data Management Product Delivery team that includes Data Engineers, Scrum Master, Business Analysts, Test Engineers, Architects etc to design and develop Data Management technology solutions and Data Ingestion Pipelines to ingest and manage large scale Global Scientific Datasets e.g. Omics, Imaging, Digital and EHR modalities.

To succeed in this position, you should have extensive experience in leading data engineering initiatives, developing and managing complex data ingestion pipelines in AWS cloud environments, and working with large-scale scientific datasets (e.g., Omics, Imaging, Digital, and EHR) using technologies like Snowflake, Redshift, Python, and various ETL tools.

• Oversee technical team, provide direction and guidance for development & architecture

• Lead to Develop Multi-model (EHR, Imaging, Digital & Genomic) Data Ingestion Pipeline for new datasets ingestion and Data Refresh from various sources.

• Leverage AWS Cloud expertise for enabling data management capabilities and data ingestion

• Develop Multi-Modal (EHR, Imaging, Digital & Genomic) data ingestion pipelines from various external data sources such as S3, GCS, FTP, BOX, RDBMS, REST API and internal data sources

• Work on Cloud based Data warehouse and Database

• API Development using Fullstack, Lambda and Gateway API

• Performance optimization for the data transfer, processing and data ingestion pipelines

• Enhancement of data pipelines for improvements, bug fix, for performance optimization

• Generative AI using Large Language Models (LLM) and Foundational Models

• AWS Cloud Cost optimization for Data Platform Infrastructure Components

Who you are:

• Bachelors in related fields (Computer Science, Computer Engineering, Mathematical Engineering, Information Systems) or related experience preferably within multiple Data Engineering technologies;

• 5-7+ years experience with data engineering

• Hands on experience as Data Engineering in Cloud Data Solutions (AWS Cloud, Snowflake)

• Experienced in ETL/ETL technologies, Talend, Apache Airflow, AWS Glue, AWS Step Functions

• Python, Lambda, Shell Scripting Skills

• Full Stack API Development, Amazon API Gateway, SwaggerHub

• Data Warehouse Expertise (Redshift, Snowflake)

• SQL Expertise, RDBMS (PostgreSQL,Oracle,SQL Server, MySQL), DynamoDB

• Kubernetes, Docker

• GitHub, GitLab and CI/CD Automation

Relocation benefits are not available for this job posting.

Qui nous sommes

Un avenir plus sain nous pousse à innover. Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial.

Construisons ensemble un avenir plus sain.

Roche est un employeur offrant l'équité en matière d'emploi.