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Job description
Location: Bengaluru, India
Description We are looking for a technically strong Program Manager to join the Amazon Now team. This role sits at the intersection of data, technology, and business operations — driving programs across ML data readiness, AWS account governance, analytics automation, and advanced business analyses. You will define program roadmaps, coordinate cross-functional execution, and ensure delivery against milestones while managing dependencies across Data Engineering, Science, Product, and Engineering teams. The ideal candidate combines structured program management thinking with hands-on proficiency in data analytics and engineering. You should be comfortable writing SQL queries, building dashboards, interpreting data pipelines, and using this technical depth to drive better program decisions, unblock teams, and validate delivery quality. Key job responsibilities
Drive end-to-end program management for ML data pipeline initiatives — scoping requirements, tracking delivery milestones, and ensuring data quality standards are met
Own AWS account governance programs including access management, security reviews, seller integration onboarding, and compliance tracking
Lead analytics automation programs — identifying manual reporting bottlenecks, defining automation roadmaps, and coordinating build-out of AI/LLM-powered solutions for business reviews (WBR/MBR)
Manage programs around advanced business analyses (customer cohorts, regional selection, A/B testing, promo effectiveness) — aligning priorities with business stakeholders and ensuring timely delivery
Partner with Data Engineers, Scientists, SDEs, BAs, and business leaders to resolve blockers and trade-off decisions
Contribute to team planning, prioritization, and continuous improvement initiatives
Basic Qualifications
3+ years of program or project management experience
3+ years of working cross functionally with tech and non-tech teams experience
3+ years of defining and implementing process improvement initiatives using data and metrics experience
Bachelor's degree
Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
3+ years of driving end to end delivery, and communicating results to senior leadership experience
3+ years of driving process improvements experience
Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
Experience building processes, project management, and schedules
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This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?