
Senior Data Engineer
Job Description
Posted on: January 14, 2026
Senior Data EngineerPermanent |
We’re looking for an experienced Senior Data Engineer to join our growing team. In this role, you’ll work on building and scaling modern data platforms, leveraging cloud technologies to support analytics and machine learning use cases.
About the Role
You’ll be responsible for designing, building, and optimizing robust data pipelines that support both real-time and batch processing. Your work will help ensure reliable, high-quality data access across the organization.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using PySpark and Python
- Develop and manage ETL/ELT workflows, ensuring data quality and reliability
- Orchestrate workflows using Apache Airflow
- Implement and manage AWS services (Lambda, Redshift, S3)
- Manage infrastructure using Terraform
- Build and maintain CI/CD pipelines with GitHub Actions
- Optimize Spark jobs and troubleshoot performance issues
Required Qualifications
- 10+ years of experience in Data Engineering
- Strong proficiency in Python, PySpark, SQL, Spark, and Airflow
- Hands-on experience with AWS cloud services and Terraform
Apply now
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