Data Engineer

RITS is seeking a skilled Data Engineer to join our team and contribute to the development and operation of a next-generation data platform. You will work with modern cloud technologies and machine learning pipelines to deliver scalable, mission-critical data solutions in a fully remote environment.

Key responsibilities

• Build and maintain the data platform using public cloud infrastructure, Kafka, Spark, and containerized services.
• Develop and manage ETL pipelines, including schema definition, DAG processing, and data quality monitoring.
• Support the development of machine learning frameworks and production-grade pipelines.
• Ensure the stability and reliability of mission-critical production services.

Requirements

• Expert-level proficiency in SQL and database technologies such as PostgreSQL, MySQL, or Snowflake.
• Strong programming skills in Python and experience with ETL/stream processing tools like Spark, Flink, or Airflow.
• Proven experience with cloud platforms (AWS/GCP), Kubernetes, and Linux in production environments.
• Strong commitment to DevOps practices, automation, and infrastructure as code using tools like Terraform.
• Ability to work with at least 5-6 hours of overlap with the US Eastern Time Zone.

What we offer

• A fully remote work environment allowing for professional growth in a global team.
• Opportunity to work with cutting-edge data engineering and cloud technologies.
• Engagement in complex, high-impact projects within the financial services sector.