AWS Data Engineer

Tata Consultancy Services Limited; Jersey City (NJ); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical Coverage

Parental Leaves

401K Plan

Certification & Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services in New Jersey is seeking a Senior AWS Data Engineer to design and build data pipelines using AWS services and Python. You will develop REST/Flask APIs for real-time data, implement secure auth (SSO/OAuth), and work with vector databases for RAG.

Strong Python skills and hands-on AWS tooling (Terraform, Lambda, SFn, S3, RDS Postgres, API Gateway) are required. Focus is on scalable, event-driven architectures with cloud-native Tech.

Qualifications

• Senior Data Engineer (Python with AWS) – 10+ year experience.
• Experience designing and building Data Pipelines using AWS Native services and Python.
• Experience in building API’s(REST/Flask) for real-time data integrations.
• Experience designing and building authentication and authorization(SSO, OAuth, Entra..)
• Strong Experience in Python programming.
• Proven experience in building and implementing in below tech stack:
• Experience working on vector database and embeddings for RAG
• AWS Cloud Experience (Terraform, Lambda, Stepfunctions, Textract, AWS Bedrock for AI LLM’s, S3, SQS, SNS)
• Amazon RDS – PostGres
• Amazon API Gateway
• Events driven architecture

Responsibilities

• Senior Data Engineer (Python with AWS) – 10+ year experience.
• Experience designing and building Data Pipelines using AWS Native services and Python.
• Experience in building API’s(REST/Flask) for real-time data integrations.
• Experience designing and building authentication and authorization(SSO, OAuth, Entra..)
• Strong Experience in Python programming.
• Proven experience in building and implementing in below tech stack:
• Experience working on vector database and embeddings for RAG
• AWS Cloud Experience (Terraforms, Lambda, Stepfunctions, Textract, AWS Bedrock for AI LLM’s, S3, SQS, SNS)
• Amazon RDS – PostGres
• Amazon API Gateway
• Events driven architecture

Skills

Python

REST/Flask

OAuth/SSO

Data Pipelines

AWS Cloud

RAG embeddings

Tools

Terraform

Lambda

Step Functions

Textract

Bedrock

S3

SQS

SNS

RDS Postgres

API Gateway

Job description

Job Description

Role - AWS Data Engineer

Experience Required -8+ Years

Must Have Technical/Functional Skills

• Senior Data Engineer (Python with AWS) – 10+ year experience
• Experience designing and building Data Pipelines using AWS Native services and Python
• Experience in building API’s(REST/Flask) for real-time data integrations
• Experience designing and building authentication and authorization(SSO, OAuth, Entra..)
• Strong Experience in Python programming
• Proven experience in building and implementing in below tech stack:
• Experience working on vector database and embeddings for RAG
• AWS Cloud Experience (Terraforms, Lambda, Stepfunctions, Textract, AWS Bedrock for AI LLM’s, S3, SQS, SNS)
• Amazon RDS – PostGres
• Amazon API Gateway
• Events driven architecture

Roles & Responsibilities

• Senior Data Engineer (Python with AWS) – 10+ year experience
• Experience designing and building Data Pipelines using AWS Native services and Python
• Experience in building API’s(REST/Flask) for real-time data integrations
• Experience designing and building authentication and authorization(SSO, OAuth, Entra..)
• Strong Experience in Python programming
• Proven experience in building and implementing in below tech stack:
• Experience working on vector database and embeddings for RAG
• AWS Cloud Experience (Terraforms, Lambda, Stepfunctions, Textract, AWS Bedrock for AI LLM’s, S3, SQS, SNS)
• Amazon RDS – PostGres
• Amazon API Gateway
• Events driven architecture

Base Salary Range : $90,000 to $120,000 Per Annum

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.