Data Engineer
Pune DIA, India
Roche
As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
Diabetes is a pesky monster — and that’s putting it mildly. If you’re serious about helping us face it head-on, join us!
Being a global leader in integrated Personalized Diabetes Management (iPDM), Roche collaborates with pioneers around the globe, including people with diabetes, caregivers, healthcare providers, and payers. We aim to transform and advance care provision and foster sustainable care structures. Under the brands Accu-Chek and mySugr, comprising glucose monitoring, insulin delivery systems, and digital solutions, we unite with our partners to create patient-centered value. By building and collaborating in an open ecosystem, connecting devices and digital solutions, and contextualizing relevant data points, we enable deeper insights and a better understanding of diabetes, leading to personalized and effective therapy adjustments. For a quick look at what we do, check out Roche code4life.
Here’s what we’re looking for:
- We’re looking for a motivated Data Engineer who will have a significant impact on our platform making data accessible.
- You will work with different data stakeholders to gain a good understanding of the data needs.
- You will build scalable data pipelines, data products and data services that will process high data volumes.
- You will drive automation - wherever possible and feasible - to ensure that automation is in place to increase quality and efficiency.
- You will implement the tools and processes to access, manage and work with the data for the reporting, advanced analytics and evidence generation teams.
- You will be part of a new team working on making data accessible to generate new products based on data and support clinical and commercial decisions.
Essential skills for your mission:
You have a B.S. degree in Computer Science, Information Systems, Math, Statistics, Engineering or equivalent training
You have at least 4 years of professional experience working as a Data Engineer with large scale data platforms, using agile methodologies
You have experience implementing data pipelines (using i.e PySpark, Spark SQL, Scala), orchestration tools/services (i.e. Airflow, data factory) and testing frameworks.
You have experience with databases (columnar, NoSQL and relational databases: Redshift, Dynamodb, Snowflake, Postgres and/or Aurora), data modeling and data management tools (Hive, Jupiter, Athena, Zeppelin and/or Databricks).
You have experience in one of the main cloud services (AWS, Google Cloud or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.)
You are familiar with orchestration, automation, integration and continuous delivery frameworks such as Jenkins or Streamsets
You have experience with Software engineering best practices, such as unit testing and integration testing, and software development tools, such as IDE, Maven, Git, Docker among others
Autonomy in solving technical challenges with a problem solving mindset
Great written and verbal communication in English
Bonus Skills:
Certification in AWS data engineer, AWS data analytics specialty or equivalent
Experience with reporting systems and visualization tools, (preferred: Quicksight, Superset; optional: Tableau, Looker).
Experienced in DevOps, DataOps and MLOps.
Knowledge with security and privacy regulations (GDPR, HIPAA).
Knowledge of the Health Industry.
Here's what you can expect from us:
Ambitious and passionate people building meaningful products based in data
An innovative agile working environment allowing for collaboration with smart people and knowledge sharing in cross-functional teams
We welcome technical evangelists, so if you are interested in any thought leadership contributions (blogs, conferences) within the realm of the organization, we are happy to support you.
As a Data Engineer, you will have the opportunity to explore and work with a diverse range of technologies , including data processing frameworks, cloud-based infrastructure, and advanced analytics tools. You will gain valuable insights into the unique demands of medical software, such as ensuring data security, managing medical risks, implementing robust and reliable programming practices, and complying with necessary certifications and audits.
You will have direct contact with our users, learning about their daily struggles living with diabetes, as well as customers and partners, understanding the unique needs and mechanics of healthcare systems worldwide.
Interested?
Great. We’d like to hear from you! Just click that “Apply Now” button and send us your CV… and anything else you think might impress us.
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Roche is an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Athena AWS Azure Big Data Computer Science Data Analytics Databricks Data management DataOps Data pipelines DevOps Docker DynamoDB Engineering GCP Git Google Cloud Jenkins Kinesis Looker Mathematics Maven MLOps NoSQL Pipelines PostgreSQL Privacy PySpark QuickSight RDBMS Redshift Research Scala Security Snowflake Spark SQL Statistics Superset Tableau Testing
Perks/benefits: Career development Conferences Equity / stock options Salary bonus
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