drjobs Senior Manager - Data Engineering Lead

Senior Manager - Data Engineering Lead

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1 Vacancy
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Job Location drjobs

Chennai - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title: Senior Manager Data Engineering Lead

Career Level: E

Introduction to role

Are you ready to disrupt an industry and change lives At AstraZeneca we are on a mission to transform our ability to develop lifechanging medicines by combining ground breaking science with leading digital technology platforms and data. As a Senior Manager Data Engineering Lead you will be at the forefront of this transformation driving the success of our data platform initiatives. Based at the Chennai GITC you will lead a team of data engineers develop and implement the data engineering strategy and ensure the quality and reliability of our AWS and Databricksdriven data platforms. Your expertise in Databricks PySpark and AWS will be essential in implementing industry best practices and standards. Are you ready to make the impossible possible

Accountabilities

As the Data Engineering Team Lead for the US data platform your key accountabilities will include:

1. Leadership and Mentorship:

  • Lead the design development and maintenance of scalable secure data infrastructure and tools to support data analytics and science teams.
  • Mentor and manage a team of Data Engineers to produce highquality dependable and scalable data products.

2. Technical Expertise:

  • Demonstrate expert understanding of AstraZenecas application development processes in the implementation of data products.
  • Function as an integral member of DevOps teams participating in development tasks with firsthand experience in ETL tools and expertise in PySpark and Databricks.
  • Provide technical leadership and guidance to junior members of the data engineering team.

3. Collaboration:

  • Work closely with Product Engineers and the CriticalOps team to share standard processes across all product release cycles for consistency.
  • Collaborate with data engineers to deeply understand data sources transformations and dependencies.
  • Develop and maintain a collaboration plan with Capability partners and business collaborators to ensure effective communication and alignment.
  • Partner with vendor managers to streamline the onboarding process for contract resources and ensure highquality deliverables.

4. Innovation and Process Improvement:

  • Drive the adoption of innovative technologies and tools to enhance data engineering processes and efficiency.
  • Recommend and implement improvements to enhance the reliability efficiency and quality of data processing pipelines.

Essential Skills/Experience

Education:

  • Bachelors degree in computer science Information Technology or a related field.

Skills and Experience:

  • Strong expertise in Databricks and PySpark.
  • Minimum 10 years of data engineering experience.
  • Proficiency with the AWS suite of applications.
  • Comprehensive understanding of quality engineering principles and standard methodologies.
  • Excellent leadership and team management abilities. Minimum 5 years of technical leadership and people management experience.
  • Strong analytical skills with the ability to troubleshoot and deliver solutions in complex data environments.
  • Experience in developing and implementing quality engineering strategies.
  • Demonstrated experience in leading and mentoring quality engineering teams.
  • Experienced in Agile Development techniques and methodologies.
  • Excellent communication and leadership skills with the ability to collaborate effectively with technical and nontechnical partners.

Desirable Skills/Experience

  • Certifications in AWS and Databricks.
  • Proficiency in scripting and programming languages such as Python.
  • Rigorous diligence and a commitment to maintaining highquality standards.
  • Firsthand experience with data pipeline and data integration processes.
  • Familiarity with data governance and data management practices.
  • Solid understanding of data modeling ETL processes and data warehousing concepts.
  • Experience working in agile and exciting environments.
  • Prior considerable experience working in Pharmaceutical or Healthcare industry IT environment.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire lifechanging medicines. Inperson working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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 empower our employees to lead innovate and take ownership. Working here means youll be a selfstarter who is comfortable stepping up exploring new possibilities solving challenges and continuously pushing boundaries. Our dynamic environment offers countless opportunities to learn and grow whether its through hackathons or redefining roles. With investment behind us theres no slowing us down as we drive crosscompany change to disrupt the entire industry.

Ready to make a meaningful impact Apply now to join our team!

Date Posted

20May2025

Closing Date

25May2025

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 industryleading 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 nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.


Required Experience:

Senior Manager

Employment Type

Full-Time

Company Industry

About Company

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