Principal Data Engineer
India - Hyderabad
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
Information SystemsJob Description
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Principal Data Engineer
What you will do
Let’s do this. Let’s change the world. We are seeking a seasoned Principal Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers.
Roles & Responsibilities:
Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies.
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, using AWS or other preferred platforms.
Lead and motivate an impactful data engineering team to deliver exceptional results.
Identify, analyze, and resolve complex data-related challenges.
Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions.
Stay abreast of emerging data technologies and explore opportunities for innovation.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:
Master’s degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered OR
Bachelor’s degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered;
Diploma and 14 to 18 years of in computer science and engineering preferred, other Engineering field is considered
Demonstrated proficiency in using 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. Handon experience with bid data ETL performance tuning.
Proven ability to lead and develop impactful data engineering teams.
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
Preferred Qualifications:
Experienced with data modeling and performance tuning for both OLAP and OLTP databases
Experienced with Apache Spark, Apache Airflow
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Experienced with AWS, GCP or Azure cloud services
Professional Certifications
AWS Certified Data Engineer preferred
Databricks Certificate preferred
Soft Skills:
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.
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure CI/CD Computer Science Databricks Data governance Data pipelines Data quality Data strategy Engineering ETL GCP Git Jenkins Maven OLAP Pipelines Prototyping PySpark Python Research Security Spark SQL Testing
Perks/benefits: Career development Competitive pay
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