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OPS-IT – Data Engineer – Chennai

Lieu Chennai, Tamil Nadu, Inde Job ID R-129228 Date de publication 04/21/2022

OPS-ITData EngineerChennai -RW.V12


Operations IT is a global IT capability supporting the Global Operations organisation. We business partner with  Operations capability areas: Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement. We operate out of Operations hub sites including in the UK, Sweden, US, and China; and out of our Global Technology Centres in India and Mexico.

Here our work has a direct impact on patients – transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.

It’s a dynamic and challenging environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or transforming the roles and work of colleagues, forever. This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.


We are recruitinga DataEngineerto join our newly established Data, Analytics & AI group. 

As part of our transformational journey on Data & AI in Operations,we are taking the stepsto advance our Operation Data Hub (ODH) to Data Mesh architecture. ODH exists to give all Operations units access to critical data and analytic tools at pace, accelerating their work on life saving medicines. The vision of ODH is also accelerating Operations’sdata strategy of making our data Findable, Accessible, Interoperable and Re-useable (FAIR). This is being achieved through the creation of a distributed data architecture, management of our data and data products will sit at the heart of this.

As a Data Engineeryou will be part of aengineering team accountable for harvesting, storing, quality checking, transforming, and visualising Operations data,build out reusable data products,which users from Operations units can self-service for analytics and AI/ML workflows. You will also be providing ongoing Business-as-Usual support to ensure these data products evolving overtime to meet Operations business objectives.

It is our goal to create scalable solutions to support the development of valuable data products and address broadrange of data use cases from Operations, including batch analytics based on data warehousing, data mart and Big Data stack, and emerging use cases on real-time analytics based on streaming

Our technology is focused around the AWS stack, existing technical components include S3, SAP HANA, SAP MDG, SAS DQ, Amazon EMR, Hudi, Qlik Replicate, Qlik Sense, Power BI. Moving forward, we aim to consolidate our technology estate and roll out modern data engineering stack, such as: Snowflake, DBT, DataKitchen, AWS Kinesis

The core of our development and support team are based in Chennai. You will also work closely with the Enterprise Data & AI teamsto leverage central Enterprise Data Platforms for Data Cataloguing, Master Data Management and Reference Data Management

You will need a collaborative delivery approach to be successful. We prefer to use Agile but choose the appropriate approach for the project. So, experience of a variety of delivery management methodologies would come in useful. 


  • 36years experience in delivering software engineering or data engineering solutions

  • Experience with & knowledge in a broad base of data tools, ETL frameworks, monitoring and data technologies, for example our stack includes:SAP HANA, SAP MDG, PowerBI, Qlik Sense, Qlik Replicate, EMR, Hudi, Collibra, Snowflake, DBT, DataKitchen, AWS Kinesis.

  • Experience of visualisation technologies (we are focused on Power BI and Qlik Sense),

  • Knowledge of data architectures, design including dimensional modelling

  • Knowledge of cloud-based data management services: AWS, or equivalent

  • Advanced SQL skills

  • Continuous integration and continuous development

  • Experience of data analysis, such as: profiling, investigating, interpreting and documenting data structures

In addition, candidates will be expected to demonstrate:

  • Good communication and facilitation skills 

  • Good written and verbal skills, fluent English.


Here our work has a direct impact on patients – transforming our ability to develop life-changing

medicines. We empower the business to perform at its peak and lead a new way of working,

combining cutting-edge science with leading digital technology platforms and data. All with

a passion to impact lives through data, analytics, AI, machine learning and more.

Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make

the impossible possible by building partnerships and ecosystems, creating new ways of working

and driving scale and speed to deliver exponential growth. Focused and committed, and backed

with the investment to succeed, we’re driving cross-company change to disrupt the entire industry.


AstraZeneca is a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.


If you’re interested in applying, we encourage you to apply using your completed Workday profile where possible. 

Open Date: 31/ 01/ 2022
Close Date: 11/ 02 / 2022

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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