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.
Solid 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.
Solid 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 settings.

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