Tata Consultancy Services
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Bengaluru · On-site · 8-11 Yrs · 4 days ago
Software Development · 10000+ Employees · Mumbai, India
Hiring: Engineering
What employees say
+ Good work life balance and nice work environment.
− Low hike not more than 7%
More reviews on the company profile.
Interview experience · Data Analyst
2 rounds. 1st round technical power bi and sql like cumulative total. What data sources you used. few scenario based questions, remove duplicate in sql. Optimization of slow performing report
Average difficulty · India · 22,544 reports
More interview insightsJob description
Overview
Overall Experience: 8 to 15 Years
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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Job application FAQ
Last updated 18 September 2026
- How do I apply for Snowflake Data Engineer with AWS at Tata Consultancy Services?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tata Consultancy Services may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Snowflake Data Engineer with AWS role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Snowflake Data Engineer with AWS remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Snowflake Data Engineer with AWS role at Tata Consultancy Services?
- This is a mid-level Snowflake Data Engineer with AWS role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.