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 that support analytics and machine learning initiatives. This role operates within a SaaS and on-premise hybrid deployment environment and plays a key role in structuring and optimizing data flow across the platform. A core focus will be extending and operating the company’s Elastic Hierarchy 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.

Originally posted on Himalayas