Senior Data Engineer

Senior Data Engineer

Design, build, and maintain scalable data systems to support analytics and machine learning in a hybrid SaaS and on-premise environment. Focus on extending and operating the company’s Elastic Hierarchy framework.

Responsibilities: • Design, develop, and maintain scalable ETL/ELT data pipelines using Python. • Process and integrate data from multiple formats and sources (JSON, CSV, XML). • Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster. • Enforce data governance, quality, and security standards. • Extend, maintain, and optimize the Elastic Hierarchy data framework. • Collaborate with analytics, ML, and product teams to deliver reliable, business-ready datasets. • Support data operations in SaaS and hybrid on-premise environments.

Skills and Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • Strong Python development skills. • Experience with AWS data services (S3, Glue, Lambda, EMR, EC2, Redshift, RDS). • Hands-on experience with Snowflake, MongoDB, and PostgreSQL. • Experience using dbt and at least one orchestration tool (Airflow, Prefect, or Dagster). • Knowledge of data mapping, attribution, and reconciliation. • Ability to work effectively in hybrid and on-premise deployment environments. • Strong English communication skills, written and verbal.

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