Data Engineer, Ads Finance, Ad Sales Analytics, Ads Sales Analytics; DIGI

Position: Data Engineer, Ads Finance, Ad Sales Analytics, Amazon Ads Sales Analytics (DIGI)
Location: Bengaluru

This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

Amazon is looking for a motivated individual with strong database, analytical skills and technology experience to join the DIGI (Ad Sales Finance analytics ) team.  In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders

Key job responsibilities
- Owning the design, operations and improvements for the Organizations Data warehouse infrastructure
- Maintain, improve and manage all ETL pipelines and clusters
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Define metrics and KPIs to measure success of strategic initiatives and report on their progress
- Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholders
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
- Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.

A day in the life

In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders. They will work on building GenAI capabilities and GenAI-ready data layer for automating insights generation and solving analytical problems across the Ad Sales FInance org.

About the team
The Advertising Sales Finance Analytics & FP&A team's responsibilities comprise of corporate reporting, planning, Headcount & OpEx, Goals reporting, and ad-hoc analysis. We support Advertising leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of Advertising.

BASIC QUALIFICATIONS:

- 5+ years of data engineering experience

- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in ETL management/data pipeline

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
- 5+ years of SQL experience

PREFERRED QUALIFICATIONS:

- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of cloud computing services or deployment architecture
- Experience building data pipelines or automated ETL processes

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