Data Engineer I, IN-Ads

Amazon; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will play a vital role in developing analytics and insights for a thriving international business. This dynamic position requires a highly analytical and organized individual who thrives in fast-paced environments. You will work closely with product and tech teams to design and implement data structures, automate reporting processes, and collaborate on machine learning algorithms. If you are eager to learn new technologies and take ownership of your work, this opportunity offers a chance to make a significant impact in a diverse and inclusive workplace.

Qualifications

• 1+ years of data engineering experience with strong SQL skills.
• Experience in data modeling, warehousing, and building ETL pipelines.

Responsibilities

• Design and implement large-scale data structures for analytics.
• Collaborate with teams to build robust ETL pipelines using SQL and Python.

Skills

Data Engineering

SQL

Data Modeling

ETL Processes

Python

Spark

Education

Bachelor's degree

Tools

AWS Redshift

OLAP Technologies

SparkSQL

Job description

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Amazon’s India Ad Tech organization is seeking a highly quantitative, enthusiastic Data Engineer to drive the development of Ads analytics and insights. Be a part of an innovative and passionate team, responsible for building a successful, sustainable and strategic international business for Amazon, from the ground up. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and partner in developing analytics and insights that global executive management teams and business leaders will use to define Ad strategies and deep dive businesses. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable learning new technologies, exploring new areas and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. You will be working closely with Product managers, program managers, SDEs and UI engineers to build data engineering solutions to provide in-depth Ad insights, analytics and recommendations and drive India Ad business.

Responsibilities

1. Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting.
2. Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting.
3. Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
4. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
5. Interface with business customers, gathering requirements and delivering complete reporting solutions.
6. Collaborate with Analysts, Business Intelligence Engineers, SDEs, and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning.
7. Communicate effectively with product/business/tech-teams/other Data teams.

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

1. Bachelor's degree

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 accommodations for more information.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.