Live opening · Posted 13 hours ago

Senior AWS Data Engineer- Python, Golang & Snowflake

Tata Consultancy Services Limited · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 13 hours ago
CompanyTata Consultancy Services Limited
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPython, Golang, AWS, Docker, PostgreSQL
SourceLinkedin
ListedPosted 13 hours ago

About the role

Description supplied by the original job listing.

TCS Hiring for Senior AWS Data Engineer- Python, Golang & Snowflake
Experience Range: - 08 To 10 Years (Mandatory)
(Note: Candidates below 8 years of IT experience shall not be considered)
JOB LOCATION: Bengaluru, Hyderabad
Notice Period: 60-90 days
JOB DESCRIPTION
Key responsibilities:
Build and maintain high-performance, event-driven integration pipelines, applying strong debugging and performance optimization skills to ensure resilient data flows.
Define and enforce technical standards, design patterns, and engineering best practices across development, security and data governance.
Design and enforce canonical data models and schemas to standardize complex organizational data domains across systems.
Build and manage CI/CD pipelines to enable reliable, repeatable, and automated software delivery.
Drive observability and monitoring using tools such as Datadog and Grafana to ensure system reliability and performance.
Collaborate with distributed engineering teams and cross-functional stakeholders to translate business requirements into scalable data solutions delivered within agreed timelines.
Design and manage AWS infrastructure to ensure high availability, scalability, and low-latency processing for data workloads.
Must Have Skills:
Strong hands-on experience in Golang and Python for backend and data engineering use cases.
Strong hands-on experience with AWS cloud services – AWS Lambda, S3, API Gateway, RDS, Glue, SQS, SNS, EC2, ECS, IAM, CloudWatch and cloud-native architecture patterns.
Strong experience with relational databases (e.g., PostgreSQL, MS SQL) and NoSQL stores (e.g., DynamoDB).
Strong hands-on experience with message brokers and event-driven architectures (e.g., Kafka, RabbitMQ).
Hands-on experience designing and implementing RESTful APIs and data services.
Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI), distributed version control system like Git.
Experience building highly available, distributed systems on AWS, including containerization using Docker.
Hands on experience building highly available distributed systems in AWS and containerization using Docker.
Experience with observability platforms such as Datadog, Prometheus, or equivalent.
Strong understanding of cloud security best practices including IAM, encryption, secrets management, vulnerability scanning, and compliance controls.
Qualifications:
Software engineering experience, with at least 3+ years focused on data engineering or distributed data platforms.
Experience working with Golang, Python, AWS Services, SQL/NoSQL and Kafka in production environments.
Nice to Have: AWS certifications such as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate, AWS Certified Developer Associate.
Minimum Qualification:
15 years of Full Time Education
Interested candidates kindly share your updated resume to govind.vijayan@tcs.com along with filling the following details to maximize your chances of getting calls from TCS. The details are as follows:
Section 1: Basic Details:
Candidate Name:
Email ID:
Phone Number:
Current Location (City):
Preferred Location (City):
Section 2: Educational Details:
Highest Regular Full‑Time Qualification
(Diploma / Graduation / Post Graduation / Others)
10th Completion Year
12th / Intermediate Completion Year
Graduation Completion Year
Post‑Graduation Completion Year (if applicable)
Section 3: Work Experience:
Current Company Name
Total Experience (in years)
Number of Companies Worked
Employment Timeline
(Example: Company A – 2021 to Present, Company B – 2019 to 2021)
Section 4: Compensation Details:
Current CTC (in LPA)
Expected CTC (in LPA)
Notice Period
(Immediate / 15 Days / 30 Days / 60+ Days)
Section 5: Documentation & Compliance (Yes / No):
Valid ID Proof Available (Aadhar & Pan Card): (Yes/No)
Educational Documents Available: (Yes/No)
Employment Documents Available: (Yes/No)
UAN Number Available: (Yes/No)

Work arrangement
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