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Tier-1 brand, Bengaluru metro location, and broad generalist data engineering requirements create high candidate competition.
Core data engineering skills are transferable, but e-commerce platform experience and leadership slightly increase domain specificity.
Explicit 10–15 years requirement plus mandatory cloud, Python, PySpark, SQL, and management skills make shortlisting highly strict.
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Lead and mentor data engineering teams, overseeing project delivery and team performance.
Architect and optimize scalable data platforms and data pipelines using modern data technologies both on-premises and cloud (AWS/Azure).
Collaborate with analytics and business stakeholders to ensure technical solutions meet business objectives and manage project risks and quality control.
10 to 15 years of experience in data engineering with prior team management responsibility.
Proficient in SQL, Python, PySpark, and strong background in modern data stacks on-premises and cloud (AWS/Azure).
Strong knowledge of database design, data modeling, data management, governance, and building semantic models.
Experienced with Agile methodologies, Scrum, and project tracking tools like Jira.
Experienced leader capable of managing and scaling engineering teams within data-heavy environments.
Technically skilled in designing and tuning scalable data ecosystems using both cloud and on-prem platforms.
Able to effectively engage with senior analytics and business leaders to align technical initiatives with organizational goals.