Junior Associate - Python Programming
AstraZenecaIndia - chennaiUpdate time: June 30,2021
Job Description

JOB TITLE: Data Engineer - Python

CAREER LEVEL: C1

Leverage technology to impact patients and ultimately save lives

Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!

ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company 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.

ABOUT OUR IT TEAM

It’s a dynamic and results-oriented 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 redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.

ABOUT THE ROLE

  • Collaborate with a team of other data engineers and business subject matter experts to solve complex data problems using Python
  • Build Insights and Analytics Reports using Python and share Advanced Insights to stakeholders in Excel and PPT.
  • Work on various different data sources and structures.
  • Drive the collection of new data and the refinement of existing data sources.
  • Analyze and interpret the results of product experiments.
  • Must have Direct Hands-on, 3 to 7 years of experience, building complex systems using Python
  • Must have fundamental knowledge of Problem Solving
  • Experience should include the following,
  • Extensive knowledge in Python Programming
  • Prior experience in Healthcare Domain, is a plus
  • Experience using Big Data, is a plus. Exposure to SPARK is desirable

ESSENTIAL SKILLS REQUIRED

  • Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly
  • Should be well familiar with Agile Project Management Methodology
  • Should have experience of managing multiple simultaneous projects
  • Should have excellent written and verbal communication skills
  • Should be a team player with open mind
  • Knowledge in Natural Language Processing, Machine Learning Techniques, Artificial Intelligence and Deep Learning are plus
  • Experience with marketing customer data models

WHY JOIN US ?

We’re a network of results-oriented self-starters who give to something far bigger. We enable AstraZeneca to perform at its peak by delivering extraordinary technology and data solutions.

We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.

SO, WHAT’S NEXT?

Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.

WHERE CAN I FIND OUT MORE?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Date Posted

29-Jun-2021

Closing Date

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 authorization and employment eligibility verification requirements.

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