Senior Data Engineer

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Senior Data Engineer.

It is a real-time data processing and analytics solution for a high-traffic web application.

• AWS: AWS Glue Studio, Redshift, RDS, Airflow, AWS Step Function, Lambda, AWS Kinesis, Athena, Apache Iceberg, AWS Data Brew, S3, Open Search, Python, SQL, CI/CD, dbt, Snowflake

• Design a scalable and robust AWS cloud architecture;
• Utilize AWS Kinesis for real-time data streaming and aggregation;
• Implement AWS Lambda for serverless data processing, reducing operational costs;
• Configure AWS RDS (Relational Database Service) for structured data storage and AWS DynamoDB for No
  
  SQL requirements;
• Ensure data security and compliance with AWS IAM (Identity and Access Management) and encryption services;
• Develop and deploy data pipelines using AWS Glue for ETL processes;
• Write Python scripts and SQL queries for data transformation and loading;
• Set up continuous integration and continuous deployment (CI/CD) pipelines using AWS Code Pipeline and Code Build;
• Monitor system performance and data quality using AWS Cloud Watch and custom logging solutions;
• Collaborate with other teams to integrate data sources and optimize data flow;
• Achieve a highly scalable real-time data processing system, resulting in a 40% increase in data analysis efficiency and a significant reduction in operational costs.
• Build ETL pipelines from S3 to AWS Open Search by AWS Glue

• Upper-Intermediate or higher English level.

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Legal support