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 robust 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 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.

Functional Skills:
- 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 Python, PySpark, SQL. Hand on experience with bid 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.

Good-to-Have Skills:
- E xperience d with data modeling and performance tuning for both OLAP and OLTP databases
- Experience d with Apache Spark, Apache Airflow
- Experience d 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
- Experience d with AWS, GCP or Azure cloud services

Education and Professional Certifications
- Bachelors degree and 12 to 17

📌 Principal Data Engineer (Hyderabad)
🏢 Amgen
📍 Hyderabad