Job Summary

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.

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.

- ProficientonexperienceinPython,PySpark,SQL.Handon experience withbiddataETL 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

- Experiencedwith data modeling and performance tuning for both OLAP and OLTP databases

- Experiencedwith Apache Spark, Apache Airflow

- Experiencedwith 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

- Experiencedwith AWS, GCP or Azure cloud services

Education and Professional Certifications

- Bachelors degree and 12 to 17years'' experience

- AWS Certified Data Engineerpreferred

- DatabricksCertificate 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

- Robust presentation and public speaking skills.

📌 Principal Data Engineer (Hyderabad)
🏢 Amgen
📍 Hyderabad