Senior Data Engineer

You will design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. You will automate data-quality validation, implement secure backend architectures, support machine-learning workflows, optimize storage and queries, and enforce data governance, lineage, integrity, security, and compliance standards.

Responsibilities

• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure
• Automate data-quality checks and validation processes
• Design and implement secure, scalable backend architectures
• Collaborate with cross-functional teams to deliver data solutions
• Support model training, deployment pipelines, and feature stores
• Optimize data storage, retrieval, processing, and queries
• Define and enforce data governance, metadata management, and data lineage standards
• Ensure data integrity, security, and compliance

Requirements

• Proficiency in Python and SQL
• 10+ years of Data Engineering experience
• Software Engineering experience
• Experience with AWS, GCP, Azure, Snowflake, BigQuery, Redshift, or ClickHouse
• Experience with dbt
• Analytical and problem-solving skills
• Ability to communicate data concepts to technical and non-technical stakeholders

Benefits

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal allowances
• Transportation allowances
• Location-specific perks