Overview
Lead the design, development, and implementation of Amgen's data strategy as a Sr Manager Data Engineer, architecting data platforms and mentoring a team of data engineers.
What you'll do
- Demonstrate strong rapid prototyping skills and quickly translate concepts into working code.
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
- Design, develop, and implement robust data architectures and platforms to support business objectives.
- Oversee the development and optimization of data pipelines and data integration solutions.
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
- Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
- Lead and motivate a high-performing data engineering team to deliver exceptional results.
- Identify, analyze, and resolve complex data-related challenges.
- Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
- Stay abreast of emerging data technologies and explore opportunities for innovation.
What you'll need
- Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions.
- Strong understanding of cloud architecture principles and cost optimization strategies.
- Proficient on experience in Python, PySpark, SQL.
- Hands-on experience with big data ETL performance tuning.
- Proven ability to lead and develop high-performing data engineering teams.
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
- Bachelor's degree in computer science and engineering preferred; other Engineering field is considered, with Master's degree and 11+ years' experience, or Bachelor's degree and 12+ years' experience.
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills.
- Ability to work effectively with global, virtual teams.
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Strong presentation and public speaking skills.
Nice to have
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases.
- Experienced with Apache Spark and Apache Airflow.
- Experienced with software engineering best practices, including version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps.
- Experienced with AWS, GCP or Azure cloud services.
- AWS Certified Data Engineer preferred.
- Databricks Certificate preferred.
Details
- Location: Hyderabad, India.
Read the full description and apply on the company’s own careers page.