Senior Data Engineer

Accellor is an AI-first digital transformation partner built for the next generation of enterprise. We are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-native data platforms, focusing on Snowflake and AWS-based architectures.

Responsibilities:

• Design, build, and maintain scalable, secure, and high-performance data pipelines in AWS
• Architect and optimize Snowflake data warehouse environments
• Develop and maintain ETL/ELT workflows for structured and semi-structured data
• Implement data modeling best practices (dimensional modeling, star/snowflake schemas)
• Ensure data quality, governance, lineage, and observability
• Optimize performance and cost efficiency across AWS and Snowflake environments
• Collaborate with analytics, data science, and business teams to translate requirements into scalable data solutions
• Implement CI/CD processes for data workflows
• Mentor junior data engineers and establish engineering best practices

Requirements:

• 7+ years of experience in data engineering or related field
• Strong hands-on experience with Snowflake (architecture, performance tuning, RBAC, data sharing, optimization)
• Extensive experience building data pipelines in AWS (e.g., S3, Glue, Lambda, EMR, Redshift, Step Functions, Kinesis)
• Strong SQL expertise and advanced data modeling skills
• Experience with Python (or Scala/Java) for data engineering workflows
• Experience with orchestration tools (Airflow, Prefect, Step Functions, etc.)
• Experience with infrastructure as code (Terraform, CloudFormation)
• Deep understanding of data warehouse concepts, distributed systems