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Snowflake Data Engineer with AWS

Snowflake Data Engineer with AWS

Tata Consultancy Services
  • Posted 2 hours ago
  • Be among the first 10 applicants

Job Description

Overall Experience: 8 to 15 Years

Job Location: Bengaluru/Hyderabad

Notice Period: 0-90 Days

Job Requirements*

Key Responsibilities*

  • Own end-to-end technical delivery of key initiatives, ensuring solutions are delivered with quality, scalability, security, and operational readiness.
  • Lead and mentor a team of engineers, fostering technical excellence, knowledge sharing, and continuous improvement across the team.
  • Drive architecture and design decisions for event-driven integrations, canonical data models, orchestration frameworks, and platform capabilities.
  • Define and enforce engineering standards, secure-by-design principles, cloud best practices, data governance and non-functional requirements for resilience, scalability, and supportability.
  • Design, develop, and operate real-time event-driven integration services using Golang and Python.
  • Build and enhance the Service Layer platform that orchestrates Quote-to-Cash workflows across enterprise applications.
  • Design and implement canonical data models, transformation frameworks, validation rules, and integration contracts that standardize communication across multiple business systems.
  • Design and implement scalable Kafka-based event processing solutions with support for retries, idempotency, sequencing, replay, and fault recovery.
  • Design and implement large-scale ETL, migration, reconciliation, and data-quality solutions using AWS Glue, Step Functions, Snowflake, PostgreSQL, and ClickHouse.
  • Design and implement observability, monitoring, alerting, and operational dashboards to enable end-to-end workflow visibility and supportability.
  • Partner with Product Managers, Architects, Enterprise Data teams, and other cross-functional stakeholders to define technical roadmaps and execution plans.
  • Lead code reviews, design reviews, technical governance activities, and engineering best-practice adoption across the team.
  • Drive engineering standards covering software development lifecycle, CI/CD, security, observability, resiliency, and cloud-native architecture patterns.

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Key Skills

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