Senior Data Engineer
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Job Description
Senior Data Engineer designing, building, and maintaining data systems for analytics and ML in hybrid SaaS environments. Extending and operating the Elastic Hierarchy framework with data governance.
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.
Requirements:
- 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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