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Hoffmann La Roche
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Data Engineer

Data Engineer

Hoffmann La Roche

4 - 9 years

6 - 11 Lacs

pune

Posted:21 hours ago| Platform:

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Skills Required

automation manager quality assurance data modeling rdbms agile healthcare unit testing analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the position

Data Engineer, who will work closely with multi-disciplinary and multi-cultural teams to build structured, high-quality data solutions. The person may be leading technical squads. These solutions will be leveraged across Enterprise , Pharma and Diagnostics solutions to help our teams fulfill our mission: to do now what patients need next.

In this position, you will require hands-on expertise in ETL pipeline development, data engineering. You should also be able to provide direction and guidance to developers, oversee the development and unit testing, as well as document the developed solution. Building strong customer relationships for ongoing business is also a key aspect of this role.

To succeed in this position, you should have experience with Cloud-based Data Solution Architectures, the Software Development Life Cycle (including both Agile and waterfall methodologies), Data Engineering and ETL tools/platforms, and data modeling practices.

Your key responsibilities:

Building and optimizing data ETL pipelines to support data analytics
Developing and implementing data integrations with other systems and platforms
Maintaining documentation for data pipelines and related processes
Logical and physical modeling of datasets and applications
Making Roche data assets accessible and findable across the organization
Explore new ways of building, processing, and analyzing data in order to deliver insights to our business partners
Continuously refine data quality with testing, tooling and performance evaluation
Work with business and functional stakeholders to understand data requirements and downstream analytics needs.
Partner with business to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements.
Foster a data-driven culture throughout the team and lead data engineering projects that will have an impact throughout the organization.
Work with data and analytics experts to strive for greater functionality in our data systems and products; and help to grow our data team with exceptional engineers.

Your qualifications and experience:

Education in related fields (Computer Science, Computer Engineering, Mathematical Engineering, Information Systems) or job experience preferably within multiple Data Engineering technologies.
4+ years experience with ETL development, data engineering and data quality assurance.
Hands on experience as Data Engineering in Cloud Data Solutions using Snowflake .
Experienced working with Cloud Platform Services (AWS/Azure/GCP) .
Experienced in ETL/ETL technologies like Talend/DBT or other ETL platforms .
Experience in preparing and reviewing new data flows patterns.
Excellent Python Skills
Strong RDBMS concepts and SQL development skills
Strong focus on data pipelines automation
Exposure in quality assurance and data quality activities are an added advantage.
DevOps/ DataOps experience (especially Data operations preferred)
Readiness to work with multiple tech domains and streams
Passionate about new technologies and experimentation
Experience with Inmuta and Montecarlo is a plus
Exposure to AI, GenAI, LLM, Machine Learning is a good to have,

What you get:

Good and stable working environment with attractive compensation and rewards package (according to local regulations);
Annual bonus payment based on performance;
Access to various internal and external training platforms (e.g. Linkedin Learning);
Experienced and professional colleagues and workplace that supports innovation;
Multiple Savings Plans with Employer Match
Company s emphasis on employees wellness and work-life balance ( (e.g. generous vacation days and OneRoche Wellness Days ),
Workplace flexibility policy;
State of art working environment and facilities;
And many more that the Talent Acquisition Partner will be happy to talk about!

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Data Engineer