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Strong employer brand, metro Hyderabad location, and a generalist mid-level data engineering manager title.
Core data engineering skills are transferable, but pharma and SAP familiarity raise domain specificity.
Explicit 3+ years requirement plus mandatory data engineering, governance, and stakeholder skills increase screening rigor.
Lead design, build, and sustainment of scalable, reliable data pipelines integrating internal and external data sources to support analytics, forecasting, AI/GenAI use cases, and digital products.
Collaborate with GBO stakeholders, BI&T, and DS&A CoE teams to ensure data architecture enables trustworthy, accessible, and fit-for-purpose data for decision-making.
Shape and govern data engineering standards, integration patterns, and quality controls within Hyderabad-based team for long-term sustainment.
Bachelor's degree required; Master's degree in Data Engineering, Computer Science, Information Systems, Engineering, or related technical discipline preferred.
3+ years of experience in data engineering, analytics engineering, BI/data platforms, or technology roles.
Strong experience with enterprise data integration, pipeline development, scalable data solutions across structured and semi-structured data.
Solid knowledge of data quality, metadata, lineage, governance principles, and familiarity with cloud data platforms, data lakes/warehouses, ETL/ELT, and analytics enablement.
Experience working cross-functionally with business, analytics, and technology teams to translate needs into scalable data solutions and enable analytics innovation.
Proven ability to manage stakeholder relationships and communicate effectively to support data-driven decision support environments.
Familiarity with SAP, SAP BI, Hyperion software, and enterprise analytics environments, along with exposure to cloud platforms and pipeline orchestration tools.