Senior Consultant - Data Engineer

India - Chennai

Applications have closed

AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.

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Job Title: Senior Consultant - Data Engineer

Career Level - D3

Introduction to role:
Join our Commercial IT Data Analytics & AI (DAAI) team as a Senior Consultant - Data Engineer. In this role, you will be responsible for developing, testing, and maintaining a scalable data product. You will have the opportunity to work with Databricks, PySpark, and the AWS suite of applications. 

Accountabilities:
As a Senior Consultant - Data Engineer, you will craft, build, and maintain scalable data pipelines and infrastructure using Databricks, PySpark, and AWS services. You will collaborate with cross-functional teams and business partners to understand requirements and translate them into technical stories. You will enforce best practices for data management, data quality, and data governance. You will also provide technical expertise to the team and 3rd party development engineers to ensure consistency in alignment to AZ IT and Commercial IT standards and processes. 

Essential Skills/Experience:
- Bachelor’s degree or equivalent in Computer Engineering, Computer Science, or a related field
- Proven experience of at least 12 years as a data engineer
- Broad understanding of cloud architecture (preferably in AWS)
- Strong experience in Databricks, Pyspark and the AWS suite of applications (like S3, Redshift, Lambda, Glue, EMR)
- Proficiency in programming languages such as Python
- Experienced in Agile Development techniques and Methodologies
- Solid understanding of data modelling, ETL processes and data warehousing concepts
- Excellent communication and leadership skills


- Experience with big data technologies such as Hadoop or Spark
- Certification in AWS or Databricks
- Machine Language or GenAI experience
- Prior significant experience working in Pharmaceutical or Healthcare industry IT environment
- Experience of working within a quality and compliance environment

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are committed to making a meaningful impact on patients' lives. We combine cutting-edge science with leading digital technology platforms and data to develop life-changing medicines. We are at a crucial stage of our journey in becoming a digital and data-led enterprise. We dare to lead, applying our problem-solving mindset to identify and tackle opportunities across the whole enterprise. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science. We optimise and revolutionise AstraZeneca by maximising efficiencies and finding new ways to drive productivity.

Are you ready to disrupt an industry and change lives? Join us today!

Date Posted

10-Oct-2024

Closing Date

10-Nov-2024

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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS Big Data Computer Science D3 Data Analytics Databricks Data governance Data management Data pipelines Data quality Data Warehousing Engineering ETL Generative AI Hadoop Lambda Pharma Pipelines PySpark Python Redshift Spark Testing

Perks/benefits: Career development Flex hours

Region: Asia/Pacific
Country: India

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