Sr. Data Engineer, Amazon Business Advertising

Amazon; New York (NY); On-site; USD 139,000 - 241,000; Full time

Job summary

Join a forward-thinking company as a Sr. Data Engineer, where your expertise in Big Data technologies will drive innovation in Business-to-Business advertising. In this dynamic role, you'll design and implement scalable data solutions, leveraging cutting-edge tools to create a robust data infrastructure. Your contributions will directly impact business growth by enabling data-driven decision-making across the organization. If you're passionate about working with large datasets and eager to mentor others, this is an exciting opportunity to lead the way in data engineering and analytics. Be part of a team that values collaboration and creativity in solving complex business challenges.

Benefits

Health Insurance

401(k) Plan

Employee Discounts

Flexible Work Hours

Paid Time Off

Career Development Programs

Qualifications

• 5+ years of data engineering experience with a focus on ETL and data warehousing.
• Proficient in SQL and at least one programming language like Python or Java.

Responsibilities

• Design and implement scalable data pipelines using big data technologies.
• Collaborate with cross-functional teams to derive insights and drive business decisions.

Skills

Data Engineering

ETL Processes

SQL

Python

Data Modeling

Data Governance

Mentoring

Education

Bachelor's Degree in Computer Science or related field

Tools

Apache Hadoop

Apache Spark

AWS Redshift

AWS EMR

AWS Glue

Apache Kafka

AWS Kinesis

Job description

Sr. Data Engineer, Amazon Business Advertising

Job ID: 2960787 | Amazon.com Services LLC

Amazon Business (AB) Advertising is seeking an exceptional Sr. Data Engineer to join our dynamic team. If you are passionate about Big Data technologies, building scalable real-time analytical solutions, relentless in ensuring data quality and reliability, and feel comfortable communicating at different levels of leadership, you are the candidate we are looking for!

As part of the AB Ads team, you will help build a new Business-to-Business (B2B) advertising experience from the ground up and create and launch features for both advertisers and business shoppers globally. This role requires deep expertise in the design, creation, management, and business use of large datasets across a variety of data platforms. You should have excellent business and interpersonal skills to work with business owners to understand data requirements and build ETL processes to ingest data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and love bringing datasets together to answer business questions and drive growth.

In this role, you will envision, design, and develop data solutions to scale AB Ads data. You will define and implement a global data strategy to create a data infrastructure as a tail-wind to help the AB Ads business grow even faster. You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data. You will help the organization move towards a data-as-a-service model to improve influence on day-to-day business decisions. You will influence and guide other data engineers, business intelligence engineers, tech team members, and leaders to make informed data decisions. Come join us and lead B2B Ads innovation at Amazon!

Key job responsibilities

1. Design, implement, and support data warehouse infrastructure using Apache ecosystem technologies (e.g., Hadoop, Spark, Hive) and AWS services (e.g., Redshift, EMR, Glue).
2. Create and optimize ETL processes to extract data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting.
3. Implement real-time data streaming solutions using technologies like Apache Kafka or AWS Kinesis.
4. Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
5. Design and implement data quality checks and data governance processes to ensure data integrity and compliance.
6. Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management.
7. Work with Product Managers, Business Analysts, and a growing global team to help in analyzing data and derive new insights that drive Amazon's consumer marketing global success.
8. Manage numerous requests concurrently and strategically, prioritizing when necessary.
9. Stay up-to-date with the latest trends and technologies in big data and data engineering, proposing and implementing innovative solutions to improve data processing and analysis capabilities.
10. Collaborate with cross-functional teams to identify and implement data-driven solutions for business challenges.
11. Mentor junior data engineers and contribute to the team's knowledge sharing and best practices.

BASIC QUALIFICATIONS

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty) are a plus.

PREFERRED QUALIFICATIONS

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit this link.

This position will remain posted until filled. Applicants should apply via our internal or external career site.