The Job

Data Engineer II, AR Data Egineering, FinAuto

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence

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In short

Join Amazon's FinAuto team as a Data Engineer II in Hyderabad to build AI-ready, high-scale financial data products for the next generation of intelligent financial automation. You will modernize the data ecosystem using technologies like Zero ETL, AWS DataZone, and drive operational excellence for scalable, secure, and AI-compatible data platforms.

Responsibilities

  • Build and maintain scalable, reliable data pipelines and datasets on AWS (S3, EMR, Redshift, Glue) to support Finance analytics, reporting, and AI-powered financial automation.
  • Develop and enhance AI-ready data products, ensuring high quality, usability, clear data definitions, and semantic richness for human analysts and AI agents.
  • Implement robust ETL/ELT workflows and contribute to modern patterns such as Zero ETL, data mesh, and standardized ingestion frameworks.
  • Ensure end-to-end data quality, observability, and governance through validation, monitoring, lineage, and metadata management (e.g., AWS DataZone).
  • Collaborate with cross-functional teams (analytics, finance, data science, ML engineering) to translate business needs into scalable, well-modeled data solutions.
  • Drive Operational Excellence through Full CD Pipeline adoption and AI-first approaches, including proactive anomaly detection and self-healing workflows.

Requirements

  • 3+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines

Desired Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for customers.
  • Workplace accommodations and adjustments available for individuals with disabilities during the application and hiring process.
#data mesh#AI#financial automation#data products#Graphite#AWS DataZone#ETL#Zero ETL#data lineage#data quality#self-service analytics#Amazon Finance
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Company

Amazon

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Applicants

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