Urgent Data Engineering Senior Manager

4 weeks ago

Hyderabad, Telangana, India Amgen Technology Private Limited Full time
Job Description

We are seeking a seasoned Data Engineering Senior Manager to lead the development and maintenance of data pipelines with a deep domain expertise in HR/Finance data. This role will oversee a high-performing team of data engineers, driving best practices in data engineering, cloud technologies, and Agile development. The ideal candidate will have a strong technical background, a focus on operational excellence, and a passion for optimizing data-driven decision-making within the biotech/pharma industry.

Roles & Responsibilities

- Leadership & Team Management: Lead and mentor a high-performing team of data engineers, driving the development of data tools and frameworks. You will coach engineers on best practices for monitoring pipeline health and implementing self-healing solutions to improve stability.
- Data Pipelines & Performance: Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms. You will guide engineers in data modeling, metadata management, and access control.
- Agile & Strategic Collaboration: Drive Agile and Scaled Agile (SAFe) methodologies, managing sprint backlogs and prioritization to enhance team velocity. You will collaborate with business leaders, product owners, and cross-functional teams to align data architecture with product requirements and business objectives.
- Governance & Best Practices: Oversee data governance strategies, ensuring compliance with security policies and regulations. You will also stay up-to-date with emerging data technologies and industry trends to ensure the organization leverages the latest innovations.

Qualifications

- 12-15 years of experience in Computer Science, IT, or a related field.
- Experience managing a team of data engineers, preferably in a biotech/pharma domain with a focus on HR/Finance data.
- Demonstrated hands-on experience with cloud platforms (AWS, GCP, or Azure) and the ability to architect cost-effective and scalable data solutions.
- Proficiency in Python, PySpark, and SQL.
- Experience with dimensional data modeling and working with tools like Apache Spark and Apache Airflow.
- Experience with software engineering best practices, including version control (Git), CI/CD, and DevOps.
- Certifications such as AWS Certified Data Engineer, Databricks Certificate, or Scaled Agile SAFe are preferred.

Soft Skills

- Leadership: Strong leadership, presentation, and public speaking skills, with the ability to manage multiple priorities successfully.
- Problem-Solving: Strong analytical and problem-solving skills to address complex data challenges and help team members with stakeholder discussions.
- Communication: Excellent verbal and written communication skills to collaborate effectively with cross-functional and global teams.
- Initiative: A high degree of initiative and self-motivation, with a focus on achieving team goals.

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