Data Engineer II, Sales Data Services (SDS)

Amazon; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

ADCI - Karnataka in Bengaluru is seeking an experienced Data Engineer to join Amazon Advertising's Sales Intelligence data platform. You will design, build, and optimize data pipelines using the AWS big data stack to support analytics and reporting for Sales teams.

You will collaborate with BI engineers, data scientists, product managers, and engineers to deliver scalable, secure, and cost-efficient data solutions and mentor junior team members as part of a high-impact, data-driven environment.

Qualifications

• 3+ years of data engineering experience.
• Experience building/operating highly available data pipelines.
• Proficient in SQL and at least one programming language (Python, Java, Scala, or NodeJS).

Responsibilities

• Design, implement, and support data warehouse and data lake infrastructure using AWS big data stack.
• Develop and manage ETLs from data lakes to unified analytics models.
• Enable self-serve analytics and support ad-hoc reporting when needed.
• Understand data sources to solve business problems with the right data.
• Handle multiple requests and collaborate across teams to deliver results.
• Mentor engineers, influence team culture, and grow the team.

Skills

Data engineering

SQL

Programming languages

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

FireHose

Lambda

IAM

Job description

Description

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place.

Description

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing , fast APIs and agentic soutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.

Key job responsibilities

• Design, implement, and support data warehouse data lake infrastructure using AWS big data stack, Python, Redshift.
• Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
• Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
• Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
• Mentor other engineers, influence positively team culture, and help grow the team.

A day in the life

You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.

About The Team

Sales Data Services team is part of Sales AI, a central data and science organization within Sales Intelligence, Technology, & Enablement organization (SITE) that powers Ad Sales selling motions and workflows via a suite of AI/ML services. Sales AI's mission is to equip Sales with the data- and science-backed intelligence they need (and when they need it) to improve their selling motions from routine practices to peak performance.

Basic Qualifications

• 3+ years of data engineering experience
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company

ADCI - Karnataka

Job ID: A10468415