We are looking for a skilled Data Engineer to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure in the cloud.

This role is ideal for someone with hands-on experience in Big Data ecosystems, cloud platforms, and modern data stack tools.

Your Impact

• Design, build, and maintain robust ETL/ELT pipelines using Airflow
• Develop and manage scalable workflows on BigQuery and other cloud-based platforms
• Use DBT to transform and model data efficiently for analytics and reporting
• Leverage AWS services (such as S3, RDS etc.) to build scalable data infrastructure
• Work with large-scale datasets and implement performance-optimized data processing strategies
• Ensure data quality, reliability, and observability across pipelines and systems
• Collaborate with data analysts, bi developers, and developers to understand requirements and deliver robust data solutions
• Contribute to architectural decisions and help shape data engineering best practices
  
  

• 3+ years of experience as a data engineer or in a similar role
• Proven experience working with Big Data technologies and processing large-scale datasets
• Strong programming skills in Python and expertise in SQL
• Proficiency with Airflow for pipeline orchestration
• Hands-on experience with DBT for data transformation
• Deep understanding of Google BigQuery and its performance optimization
• Solid working experience with AWS cloud services
• Familiarity with data modelling, warehousing, and pipeline design best practices
• Excellent problem-solving skills and ability to work in a collaborative environment