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Tier-1 brand, mid-level generalist data role, Hyderabad metro, and popular skillset increases competition.
Medium — core data engineering transferable, but HR domain and migration leadership increase specificity.
High due to explicit 5+ years, leadership expectations, and wide mandatory technical and cloud migration skills.
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Lead enterprise-scale modernization of HR data platforms from legacy systems to cloud-native, AI-enabled lakehouse architectures implementing Medallion design principles.
Design, develop, and optimize scalable, secure data pipelines and platforms using Python, Apache Spark/PySpark, SQL, ETL/ELT frameworks, and cloud platforms like Microsoft Fabric.
Lead and execute large-scale data migration programs ensuring business continuity, data integrity, and collaboration with stakeholders and engineering teams.
5+ years of database engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
Experience leading enterprise-scale data modernization initiatives (implied by senior role).
Hands-on expertise required in Python, Apache Spark/PySpark, SQL, ETL/ELT design, API integration.
Work Experience Required: 5+ years (Database Engineering)
Proven leadership in driving large-scale, complex data platform modernizations and migrations in enterprise environments.
Deep technical knowledge of modern cloud data architectures, including Lakehouse (Medallion layers), Data Mesh, and Data Fabric patterns.
Experience with HR, Workforce, Talent, Payroll, or Enterprise Data domains and exposure to AI/ML and large language model application development.