Data Engineering Manager, eCS Architecture and Infrastructure Team

2 weeks ago

Bengaluru, India ADCI - Karnataka - A66 Full time
Are you interested in diving deep into data, and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Data Engineering Manager. You will lead a team of software engineers, data engineers and BIE’s as part of the Architecture and Infrastructure team in the eCommerce Services org.

We build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Tax and Financial integration. eCommerce Services (eCS) manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers.

We are looking for an experienced and technically skilled individual to lead the team that provides data engineering and analytics functionality for the entire eCommerce Services org. The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused engineering leader who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.

Key job responsibilities
•Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
•Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
•Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
•Identifying data needs and driving data quality improvement projects.
•Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

Additionally, as a technical manager in the team you will:

•Mentor and Develop Talent: Assist in the career development of others, mentoring employees and teams on advanced technical issues and career growth.
•Raise the Quality Bar: Provide guidance and mentoring to ensure that right technology choices are being made. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
•Define the long-term strategy: Be part of the management team that develops strategic plans and ensures tactical execution of these plans.

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND

BASIC QUALIFICATIONS

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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