The Job

Data Engineer II, Compliance Shared Services, RISC

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

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In short

Amazon RISC team is seeking an experienced Data Engineer to design, build, and maintain large-scale data pipelines and infrastructure. This role involves optimizing data architectures, implementing reporting, developing data models, and building enterprise-scale data security solutions.

Responsibilities

  • Design, develop, and maintain automated ETL/ELT pipelines with monitoring using Python, Spark, SQL, and AWS services.
  • Optimize data warehouse and data lake architectures.
  • Implement and support reporting and analytics infrastructure.
  • Develop optimized data models and transformations.
  • Develop and maintain enterprise-scale data security solutions.
  • Maintain data warehouse and data lake metadata and documentation.
  • Collaborate with customers and technical teams to gather and implement requirements.
  • Build self-service tooling and automation, including GenAI-powered agents.
  • Design and operate compliance-critical data validation pipelines.
  • Monitor and optimize cluster/compute resource utilization.
  • Stay current with emerging technologies and incorporate them into the data ecosystem.

Requirements

  • 3+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Familiarity with orchestration patterns such as event-driven architectures (EventBridge, Step Functions, Lambda) and workload/cost optimization techniques.

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
  • Experience building or operating GenAI-based tooling or agentic workflows (e.g., using frameworks/platforms like AWS Bedrock, MCP-based agents)

Benefits

  • Work-life harmony
  • Flexibility as part of our working culture
  • Continuous knowledge-sharing, mentorship, and career-advancing resources.
#Data Engineering#Compliance#ETL#AWS#Python#SQL#Spark#GenAI
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Company

Amazon

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Applicants

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