Senior Data Engineer - SOL-1634
This is a remote position. Job reputed company: We are seeking a Senior Data Engineer to design, build, and maintain reputed company data systems that support analytics and machine learning initiatives. This role operates reputed company a reputed company and on-reputed company hybrid deployment environment and plays a key role in structuring and optimizing data reputed company across the platform. A core reputed company will be extending and operating reputed company’s reputed company Hierarchy reputed company. Schedule: Full-time Responsibilities:
- Design, reputed company, and maintain reputed company ETL/ELT data pipelines using Python.
- Process and reputed company 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, reputed company, or Dagster.
- Enforce data governance, reputed company, 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 reputed company and on-reputed company hybrid environments.
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, reputed company, 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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