Description

You will build scalable data processing solutions using a modern cloud-based stack.

Responsibilities

• Build automated, scalable data pipelines and validation frameworks.
• Contribute to architecture and design patterns for high-volume data processing.
• Implement features in collaboration with product owners and data analysts.
• Support product health by minimizing defects and technical debt.

Required Skills

• Expert-level proficiency in Python.
• 4+ years of experience in application development.
• 3+ years of experience implementing scalable architectures.
• 3+ years of experience in large-scale software development with near real-time data processing.
• 3+ years of experience with AWS services including EC2, S3, DynamoDB, ElasticSearch, SQS, SNS, and Lambda.
• Experience with Snowflake, Apache Spark, and Airflow.
• Knowledge of DSL Queries and Kibana.
• Experience with CI/CD tools such as Jenkins and Terraform.
• Degree in Computer Science or a related field.

Preferred Skills

• 5+ years of experience in relational and non-relational database development.
• Proficiency in SQL and PL/SQL.
• Experience automating jobs using Autosys or shell scripting.

Key Skills

Education

Any Graduate