Technical Lead- Data Engineering

F. Hoffmann-La Roche Gruppe; Mississauga; On-site; CAD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking company where you can lead data engineering initiatives that drive healthcare innovation. As a Technical Lead in Data Engineering, you will collaborate with diverse teams to develop cutting-edge data management solutions. Your expertise in AWS Cloud, Python, and ETL technologies will be pivotal in creating robust data ingestion pipelines that manage vast scientific datasets. This role offers an exciting opportunity to make a meaningful impact on global healthcare while working in an inclusive and dynamic environment that values your contributions. Embrace the chance to thrive professionally and personally in a company dedicated to advancing science and healthcare solutions.

Qualifications

• 5-7+ years experience with data engineering in cloud environments.
• Hands-on experience with AWS Cloud and Snowflake for data solutions.

Responsibilities

• Lead the development of data ingestion pipelines for large-scale datasets.
• Oversee technical team and provide guidance for data architecture.

Skills

Data Engineering

AWS Cloud

Python

ETL Technologies

SQL

Full Stack API Development

Kubernetes

Docker

Education

Bachelor in Computer Science

Bachelor in Computer Engineering

Bachelor in Information Systems

Tools

Snowflake

Redshift

Talend

Apache Airflow

AWS Glue

AWS Step Functions

GitHub

GitLab

Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The 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.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.