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Senior, niche Principal data engineer reduces applicant pool, but strong biotech brand and Hyderabad metro increase competition.
Technical data engineering skills are broadly transferable, though biotech domain experience is beneficial.
Explicit 12–17 years requirement and technical/certification expectations make filters strict.
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Lead design, development, and implementation of robust data architectures and platforms aligned with business objectives.
Mentor and manage a high-performing data engineering team to deliver quality data solutions and innovation.
Architect and oversee cloud-based data solutions, establish data governance policies ensuring quality, security, and compliance.
Bachelor’s degree with 12 to 17 years of professional experience in data engineering or related fields.
Proficiency in Python, PySpark, SQL, with hands-on experience in big data ETL and performance tuning.
Experience implementing and managing cloud-based data solutions on AWS, Azure, or GCP platforms.
Work Location: On-site in Hyderabad, India; AWS Certified Data Engineer preferred.
Proven leadership in managing and developing high-performing data engineering teams and data platform architecture.
Strong expertise in cloud architecture principles, cost optimization, and rapid prototyping of data solutions.
Deep technical skills in Python, PySpark, SQL, cloud-based platforms, and data governance with ability to solve complex data challenges.