Backend Developer (Strong proficiency in Python) (TK710ST RM 3863)

Position: Backend Developer (Strong proficiency in Python) (TK710ST RM 3863)

MANDATORY SKILLS : Cloud

PREFERRED SKILLS

• Experience with orchestration + workflow engines like Airflow, Dagster, or Prefect.
• Familiarity with serverless architectures and event-driven patterns.
• Knowledge of Docker Compose, Kubernetes fundamentals, and container networking.
• Experience designing near-real-time analytics pipelines using Athena, OpenSearch, or Redshift.
• Exposure to Snowflake or other Datawarehouses, Parquet file processing, and schema evolution.
• Understanding of monitoring & observability tools (Grafana, Prometheus, ELK, OpenSearch Dashboards).
• Familiarity with CDK-based multi-environment deployment and YAML-driven configuration management.

Must have skills:

• 7–10+ years of experience in backend engineering and distributed system development.
• Strong proficiency in Python, OOP principles, and modern frameworks such as FastAPI / Django REST Framework.
• Deep expertise in building RESTful APIs, microservices, and event-driven architectures.
• Hands-on experience with AWS services including Lambda, API Gateway, S3, DynamoDB, CloudWatch, Step Functions, SNS/SQS, Glue, Athena, and IAM.
• Strong knowledge of SQL and NoSQL databases, query optimization, and schema design.
• Expertise in ETL / ELT pipeline design, data modeling, and data quality frameworks.
• Proficiency with orchestrators such as AWS Step Functions, Airflow, Prefect, or Dagster.
• Solid understanding of Docker, containerized development, and microservice deployment patterns.
• Experience with infrastructure-as-code, preferably AWS CDK (Python) or Terraform.
• Ability to design scalable APIs, data flows, and backend systems with clear architectural reasoning.
• Strong analytical and problem-solving skills, with the ability to translate complex requirements into technical implementation.
• Experience working in cross-functional teams, collaborating with frontend, data, QA, and product stakeholders.
• Sound knowledge of CI/CD practices, Git, testing frameworks, and code quality standards.

Roles and Responsibilities:

• Lead the design and development of cloud-native backend systems, REST APIs, and scalable data pipelines.
• Architect and optimize ETL workflows, ensuring efficient ingestion, transformation, and storage of large datasets.
• Own the end-to-end technical delivery, including system design, implementation, integration, code reviews, and performance tuning.
• Collaborate with system architects and domain experts to define backend and data platform architecture.
• Implement and maintain AWS infrastructure using CDK, ensuring security, scalability, and cost efficiency.
• Build robust monitoring, logging, and alerting for production systems to ensure reliability and traceability.
• Work with analytics and product teams to transform business requirements into actionable backend and data solutions.
• Optimize data queries, pipelines, and API performance across AWS services.
• Ensure best practices in code quality, CI/CD automation, containerization, and documentation.
• Solve complex technical problems with strong reasoning, structured thinking, and a data-driven approach.
• Mentor junior engineers, conduct design reviews, and contribute to engineering excellence across teams.

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