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:

- Solid 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.

📌 Senior AWS Data Engineer- Python, Golang & Snowflake (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad