Senior Data Engineer - SOL-1634

This is a remote position. ​Job description:We are seeking a Senior Data Engineer to design, build, and maintain scalable data systems thatsupport analytics and machine learning initiatives. This role operates within a SaaS andon-premise hybrid deployment environment and plays a key role in structuring and optimizingdata flow across the platform. A core focus will be extending and operating the company’s ElasticHierarchy framework. Schedule:Full-time Responsibilities: - Design, develop, and maintain scalable ETL/ELT data pipelines using Python. - Process and integrate data from multiple formats and sources, including JSON, CSV, and XML.- Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster. - Enforce data governance, quality, and security standards across data systems. - Extend, maintain, and optimize the Elastic Hierarchy data framework. - Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets.- Support data operations in SaaS and on-premise hybrid environments. ​ Requirements Skills: - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. - Strong proficiency in Python development. - Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS. - Hands-on experience with Snowflake, MongoDB, and PostgreSQL. - Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or Dagster). - Knowledge of data mapping, attribution, and reconciliation processes. - Ability to work effectively in hybrid and on-premise deployment environments. - Strong English communication skills, both written and verbal.

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