Data Engineer I, Prime Video Advertising

Amazon; India; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Amazon Prime Video Advertising – PVA-DMI team seeks a Data Engineer I to design, build, and maintain scalable data pipelines using AWS services. You will work with Python, Spark, EMR, and Redshift to support data-driven insights and real-time analytics.

You will collaborate with stakeholders to ensure data quality, implement contracts, and leverage AI/GenAI tools to accelerate development and improve data hygiene across AWS data platforms.

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query language (e.g., SQL, SparkSQL).
• Experience with one or more scripting language (e.g., Python).

Responsibilities

• Engineer modern data infrastructure to support real-time data processing for AI/ML workloads.
• Build semantic layers enabling intelligent query routing and data access.
• Develop infrastructure for AI-powered workflows and orchestration.
• Implement data quality, entity resolution, and metadata management solutions.

Skills

SQL

Data modeling

ETL Pipelines

Python

Spark

Tools

Hadoop

Hive

EMR

Spark

Airflow

Redshift

CDK

Job description

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?

As part of the Prime Video team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!

We are seeking a highly skilled and technically adept Data Engineer I to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazon’s internal tools, you will handle data ingestion, transformation, integration, and ensure high standards of data quality through validation, cleansing, and deduplication.

This role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.

This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene.

This role is expected to leverage new technologies like Gen AI to and adapt to business needs, building and improving frameworks and processes with these new tools to accelerate development and improve data quality.

You’ll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising, able to synthesize a variety of technologies, and effectively lead complex projects.

In this position, your attention to detail and dedication to high-quality, well-documented data products will empower stakeholders to make better, data-driven decisions.

Key job responsibilities

Modern Data Infrastructure & Real-Time Processing

• Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads
• Build semantic layers enabling intelligent query routing and context-aware data access
• Develop infrastructure for AI-powered automated workflows and orchestration
• Implement AI-driven data quality, entity resolution, and metadata management solutions

Data-as-a-Product Delivery

• Own end-to-end accountability for data products from ingestion to consumption
• Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures
• Build self-service platforms with embedded governance, lineage, and discovery capabilities
• Establish data contracts and APIs for reliable, versioned data consumption

AWS Infrastructure & Pipeline Engineering

• Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR
• Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers
• Implement CDC and event-driven architectures for real-time data availability
• Deploy infrastructure-as-code using CDK

About the team

Prime Video Advertising - Data, Measurement and Insights(“PVA-DMI”) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazon’s video advertising business. We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.

Basic Qualifications

• 1+ years of data engineering experience
• Experience with SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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