Data Engineer I, IN-Ads

Global technology company specializing in e-commerce, cloud computing, digital streaming, and artificial intelligence.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · Advertising

Description For Data Engineer I, IN-Ads

Amazon's India Ad Tech organization is seeking a Data Engineer I to join their innovative team. This role is perfect for someone with strong analytical skills and a passion for data engineering. As a Data Engineer, you'll be responsible for developing analytics and insights that will shape Amazon's Ad strategies.

The position offers an exciting opportunity to work with large-scale data structures and build robust ETL pipelines using technologies like SQL, Python, and AWS Redshift. You'll be working in a fast-paced environment where you'll collaborate with Product Managers, SDEs, and UI engineers to provide in-depth Ad insights and analytics.

This is an excellent opportunity for someone starting their data engineering career, requiring just 1+ years of experience. You'll be part of Amazon's renowned tech organization, working on projects that directly impact the company's advertising business. The role combines technical skills with business acumen, as you'll be interfacing with business customers and delivering complete reporting solutions.

Key aspects of the role include designing and implementing high-performance data structures, developing ETL processes, and working with various query languages. You'll also have the chance to work with cutting-edge technologies and contribute to machine learning initiatives.

The position is based in major tech hubs in India (Bengaluru and Hyderabad), offering the opportunity to work with one of the world's leading tech companies. You'll be part of a team that values innovation, customer focus, and deep technical expertise. This role is perfect for someone who wants to grow their career in data engineering while working on impactful projects at scale.

Last updated 4 hours ago

Responsibilities For Data Engineer I, IN-Ads

  • Design, develop, implement, test, and operate large-scale data structures for analytics and reporting
  • Implement data structures using best practices in data modeling, ETL processes
  • Work with product tech teams and build robust data integration pipelines
  • Improve reporting and analysis processes, automating self-service support
  • Interface with business customers and gather requirements
  • Collaborate with Analysts, Business Intelligence Engineers, SDEs, and Product Managers
  • Communicate effectively with product/business/tech teams

Requirements For Data Engineer I, IN-Ads

Python
  • 1+ years of data engineering experience
  • Experience with SQL
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with scripting languages (Python, KornShell)

Interested in this job?

Jobs Related To Amazon Data Engineer I, IN-Ads

Business Intel Engineer I, AOP (Level 4)

Entry-level Business Intelligence Engineer position at Amazon Transportation, focusing on data analysis, visualization, and process improvement using SQL, Python, and BI tools.

Data Engineer, FinAuto, Accounts Receivable Data Engineering

Data Engineer role at Amazon's Finance Automation team building next-gen Financial data warehouse using AWS technologies and modern data architecture.

Cloud Support Associate (Bigdata | Mandarin speaker), AWS Support Engineering

AWS Cloud Support Engineer position specializing in Big Data technologies, offering comprehensive training, flexible work schedule, and opportunities for career growth in cloud computing.

Data Engineer I, ITA - Workforce Intelligence, Core Data Acquisition

Data Engineer role at Amazon's ITA team focusing on building scalable data infrastructure and pipelines to support hiring decisions and talent acquisition analytics.

Business Intel Engineer I, AOP

Business Intelligence Engineer role at Amazon Transportation focusing on analytics and data-driven solutions to improve operational efficiency across global markets.