Data Engineering Specialist for Amazon's Last Mile Delivery

5 hours ago


Hyderabad, Telangana, India myGwork Full time
About the Role

This position is with myGwork, an inclusive employer and a member of the LGBTQ+ business community. The role involves working closely with cross-functional teams to drive improvements in Amazon's Last Mile delivery network.

Job Description

We are seeking a highly skilled Data Engineer III to join our team at Amazon's Last Mile Science & Technology organization. As a key member of this team, you will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems.

You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena) and have deep expertise and passion in working with large data sets, building complex data processes, performance tuning, bringing data from disparate data stores, and programmatically identifying patterns.

Key Responsibilities
  • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
  • Extract huge volumes of structured and unstructured data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses.
  • Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting.
  • Perform detailed source-system analysis, source-to-target data analysis, and transformation analysis.
  • Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance.
  • Drive programs and mentor resources to build scalable solutions aligning to team's long term strategy.
Requirements

We are looking for a candidate with:

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

The estimated salary range for this position is $140,000 - $170,000 per year, based on industry standards and market conditions.



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