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Senior Manager - Product Quality Engineering Leader

AstraZeneca India Pvt. Ltd

based on 805 Reviews

11-14 years

Chennai

1 vacancy

Senior Manager - Product Quality Engineering Leader

AstraZeneca

posted 9hr ago

Flexible timing

Key skills for the job

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Accountabilities

As the Product Quality Engineering Team Leader for data platforms, the key accountabilities will include:

1. Leadership and Mentorship:

Guide the design, development, and maintenance of scalable and secure data infrastructure and tools to support the data analytics and data science teams.
Mentor and develop a team of Product Quality Engineers to deliver high-quality, reliable, and scalable data products.

2. Quality Engineering Standards:

Develop and implement data and data engineering quality assurance strategies and plans tailored to data product build and operations.
Define and build Quality engineering standards and implement comprehensive quality engineering initiatives.
Maintain quality standards in design, code, and data models, ensuring thorough reviews at each stage of the development life cycle.

3. Collaboration:

Partner with Product Engineers and the DevOps team to share quality engineering standards and best practices across all product release trains, ensuring consistency.
Collaborate with data engineers to understand data sources, transformations, and dependencies thoroughly.

4. Technical Expertise:

Exhibit expert understanding of AstraZeneca s application development processes in implementing data products.
Act as an integral member of the DevOps teams, engaging with development stories, with hands-on experience in one of the ETL tools and expertise in PySpark.
Provide technical leadership and guidance to junior data engineering team members.

5. Innovation and Process Improvement:

Drive the adoption of new technologies and tools to improve data engineering processes and efficiency.
Recommend and implement enhancements to improve reliability, efficiency, and quality of data processing pipelines.

These accountabilities will play a crucial role in ensuring the high quality and reliability of data products within DAAI s data platforms.

Essential Skills/Experience

Education:

Bachelor s degree in Computer Science, Information Technology, or a related field.

Skills and Experience:

Strong expertise in Databricks and PySpark.
Proficiency with the AWS suite of applications.
Comprehensive understanding of quality engineering principles and standard methodologies.
Proven track record in leading quality assurance or quality engineering projects within a data-centric environment.
Excellent leadership and team management abilities.
Strong analytical skills with the ability to solve 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 non-technical team members.

Desirable Skills/Experience

Certifications in AWS and Databricks.
Proficiency in scripting and programming languages such as Python.
Rigorous attention to detail and a commitment to maintaining high-quality standards.
Hands-on 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 fast-paced environments.
Prior significant experience working in Pharmaceutical or Healthcare industry IT environment.