Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level, popular data engineering role in Hyderabad with broad skillset and 5+ years attracts many applicants.
Core data engineering skills transfer across industries despite pharma-specific context.
Explicit 5+ years, mandatory data engineering experience and cloud/ETL platform proficiency tighten candidate filters.
Design, build, and sustain enterprise-scale data engineering capabilities including data pipelines and integration workflows to support analytics, reporting, and digital enablement across GBO.
Collaborate with senior managers, stakeholders, and cross-functional teams to ensure data reliability, accessibility, and fitness for analytical and operational use.
Support continuous improvement, issue resolution, and performance monitoring of data solutions in steady state operations.
Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Engineering, Analytics, or related field.
5+ years of experience in data engineering, analytics engineering, BI/data platforms, or technology roles.
Proficiency in designing, developing, and optimizing data pipelines across structured and semi-structured sources; strong understanding of data architecture, modelling, quality, governance, and metadata management.
Experience with cloud data platforms, data lake/warehouse architectures, ETL/ELT frameworks; familiarity with SAP, SAP BI, Hyperion software applications preferred.
Experienced in leading data engineering workstreams and collaborating with business, analytics, and technology teams to deliver scalable data solutions.
Strong expertise in data architecture and engineering for analytics enablement within complex enterprise environments.
Capable of managing stakeholder relationships and influencing cross-functional teams to meet data quality and operational performance goals.