[Hiring] Senior Data Engineer @Sedona Digital

Role Description

This role involves designing, building, and maintaining data pipelines and ingestion frameworks on AWS.

• Design, build, and maintain data pipelines and ingestion frameworks on AWS using services such as AWS Glue, S3, and Redshift.
• Implement and maintain S3-based data lakes, including raw, staged, and curated layers, following agreed standards and best practices.
• Set up and optimize Amazon Redshift environments, including schema design, distribution and sort key strategies, and performance considerations.
• Develop reliable ingestion patterns for file-based and database sources, including SFTP-to-S3 workflows.
• Implement secure secrets management using AWS Secrets Manager, ensuring credentials are never stored in code or configuration files.
• Build reusable, maintainable transformation logic aligned with agreed modelling and semantic-layer principles.
• Monitor, troubleshoot, and improve pipeline reliability, data quality, and operational stability.
• Collaborate with architects, analysts, and client stakeholders to translate requirements into scalable data solutions.
• Contribute to defining and enforcing data engineering standards, security practices, and governance patterns.
• Support clients during platform adoption, knowledge transfer, and handover.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of experience in data engineering, ETL/ELT development, and data integration.
• Strong hands-on experience with AWS, including S3, AWS Glue, Amazon Redshift, and IAM.
• Solid understanding of data lake and data warehouse architectures.
• Experience designing and operating batch-oriented data pipelines at scale.
• Strong SQL skills and experience with data modelling (facts, dimensions, semantic layers).
• Experience with Python for data processing, automation, or Glue jobs.
• Familiarity with secure credential handling and secrets management patterns.
• Ability to work independently, manage changing priorities, and make pragmatic technical decisions.
• Strong communication skills in English, with the ability to explain technical concepts clearly.

Requirements

• Exposure to Redshift Spectrum, Athena, or lakehouse patterns.
• Familiarity with Snowflake or Databricks and ability to compare trade-offs.
• Experience working in regulated or security-sensitive environments.
• Understanding of CI/CD practices for data platforms.
• Previous experience supporting discovery or early-phase platform design engagements.
• Exposure to or certification in Microsoft Azure is considered a plus.

Benefits

• Work from home.
• Medical insurance given after probation period.
• Training on market trends and client needs.
• Continuous learning and personal development opportunities.
• Holiday allowance in line with local legislation.
• Competitive compensation package.
• Performance-based bonus.
• Fun budget for team events.