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Salary
$20k – $55k per year (Estimated)
Location
In office (Delhi)
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match
Amazon is the world's largest online retailer. The company has been referred to as "one of the most influential economic and cultural forces in the world", as well as the world's most valuable brand.

Requirements:

  • 4+ years of professional software engineering experience.
  • Strong proficiency in Python and/or Go, with experience delivering production systems.
  • Good understanding of data structures, algorithms, object-oriented design, concurrency, and operating-system fundamentals.
  • Hands-on experience building data pipelines, backend services, APIs, or distributed systems.
  • Practical experience with Apache Airflow, workflow orchestration, or equivalent scheduling platforms.
  • Experience with Databricks, PySpark, Spark, Delta Lake, or large-scale data processing.
  • Strong SQL skills and experience with PostgreSQL, MySQL, Redshift, or similar databases.
  • Experience with AWS services, especially S3 Lambda, MWAA, Glue, Redshift, SQS, Secrets Manager, ECS, or related services.
  • Experience with Kafka, Redis, or other streaming, messaging, and caching systems.
  • Understanding of REST APIs, microservices, asynchronous processing, and event-driven architecture.
  • Experience with Git and collaborative development practices such as pull requests and code reviews.
  • Experience writing unit, integration, and end-to-end tests.
  • Knowledge of CI/CD tools and deployment practices using Jenkins, GitHub Actions, Docker, or similar technologies.
  • Understanding of application and data security, access control, secrets management, privacy, and data protection.
  • Strong analytical and problem-solving skills.
  • Ability to independently own features or services from design through production deployment.
  • Strong communication skills and the ability to collaborate effectively across teams.

Good to Have:

  • Experience with AWS IAM, ECS, EC2 ELB, CloudWatch, OpenTelemetry, or LocalStack.
  • Experience with Airflow dynamic DAG generation, custom plugins, or MWAA operations.
  • Experience with data quality checks, reconciliation, backfills, recovery workflows, and pipeline monitoring.
  • Experience with recommendation systems, customer segmentation, marketing automation, or e-commerce data.
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