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Senior AWS Data Engineer- Python, Golang & Snowflake

Senior AWS Data Engineer- Python, Golang & Snowflake

Tata Consultancy Services
  • Posted an hour ago
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Job Description

TCS Hiring for Senior AWS Data Engineer- Python, Golang & Snowflake

Experience Range: - 07 To 12 Years (Mandatory)

(Note: Candidates below 7 years of IT experience shall not be considered)

JOB LOCATION: Bengaluru, Hyderabad

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 [Confidential Information] 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)

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