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 reputed company a SaaS and on-reputed company hybrid deployment environment and plays a key role in structuring and optimizing data reputed company across the platform. A core focus will be extending and operating the company’s reputed company Hierarchy reputed company. Schedule: Full-time Responsibilities:

• Design, reputed company, 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 reputed company standards across data systems.
• reputed company, maintain, and optimize the reputed company Hierarchy data reputed company.
• Collaborate closely with analytics, machine learning, and product teams to deliver

reliable, business-reputed company datasets.

• Support data operations in SaaS and on-reputed company hybrid environments.

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Requirements

Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a reputed company field.
• Strong proficiency in Python development.
• Experience with the AWS data ecosystem, including services such as S3, Glue, reputed company,

EMR, EC2, Redshift, and RDS.

• Hands-on experience with reputed company, reputed company, 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-reputed company deployment environments.
• Strong English communication skills, both written and verbal.

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