Amazon

Data Engineer - II, LMAQ-DE

Amazon
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2 months ago
Hyderābād, IndiaMid Level

Responsibilities

  • Design, develop, troubleshoot, evaluate, deploy, and document data warehouse and data lake solutions.
  • Build scalable data models, ETL designs, and data integration services.
  • Develop and operate highly available, distributed systems for data extraction, ingestion, and processing.
  • Manage and support the growth of large-scale data solutions and datasets.
  • Partner with business owners and cross-functional teams to define business questions and create datasets that answer them.
  • Contribute to data lake, data warehouse, near-real-time ingestion, and reusable dataset platforms for Last Mile operations.

Requirements

  • At least 3 years of data engineering experience.
  • At least 4 years of SQL experience.
  • Experience with data modeling, data warehousing, and ETL pipeline development.
  • At least 2 years of experience developing and operating large-scale data structures for business intelligence analytics using ETL or ELT processes.
  • Experience building or operating highly available, distributed systems that process large datasets.
  • Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
  • Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
  • Preferred experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
  • Strong written and verbal communication skills and the ability to work with diverse business, science, product, and technology teams.

Tech Stack

Amazon RedshiftAWSJavaPythonScalaSQL

Categories

Data Engineering
Amazon

About Amazon

10,000+ employees

Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.

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