Data Engineering Manager

8 - 12 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an Engineering Manager (Data Engineering) at Amgen, your role will involve leading and mentoring a team of data engineers in the R&D domain of biotech or pharma companies. You will foster a culture of innovation, collaboration, and continuous learning to solve complex problems within the R&D division. Your responsibilities will include overseeing the development of data extraction, validation, and transformation techniques to ensure high-quality data for downstream systems. Additionally, you will guide the team in writing and validating high-quality code for data processing and transformation, as well as drive the development of data tools and frameworks for efficient data management across the organization. Key Responsibilities: - Lead and mentor a team of data engineers in the R&D domain of biotech/pharma companies. - Oversee the development of data extraction, validation, and transformation techniques. - Guide the team in writing and validating high-quality code for data processing and transformation. - Drive the development of data tools and frameworks for efficient data management. - Oversee the implementation of performance monitoring protocols across data pipelines. - Coach engineers in building dashboards and aggregations for monitoring pipeline health. - Lead the implementation of self-healing solutions to improve pipeline stability. - Ensure compliance with security policies, regulations, and data accessibility best practices. - Collaborate with business leaders and cross-functional teams to align data architecture with product requirements. - Drive Agile and Scaled Agile (SAFe) methodologies for project delivery. - Stay up-to-date with emerging data technologies and industry trends. Qualifications: - Masters degree with 10-12+ years of experience in Computer Science, IT, or related field OR Bachelors degree with 8-10+ years of experience. - Experience managing a team of data engineers in the R&D domain of biotech/pharma companies. - Proficiency in Python, PySpark, SQL, dimensional data modeling, Apache Spark, Apache Airflow, and cloud platforms (AWS). - Experience with software engineering best practices and AWS/GCP/Azure cloud services. - Strong analytical and problem-solving skills. - Effective communication and interpersonal skills. - AWS Certified Data Engineer, Databricks Certificate, and Scaled Agile SAFe certification preferred. As an Engineering Manager (Data Engineering) at Amgen, you will play a crucial role in driving the development and implementation of the company's data strategy. Your expertise in data engineering and cloud technologies will be instrumental in optimizing data-driven decision-making processes.,

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