Data Engineer

About This Role

Design, build, and scale reliable data pipelines that power analytics, reporting, and data-driven decision-making. Collaborate with cross-functional teams to ensure high-quality, accessible data is available.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines
• Develop and optimize data models for analytics and reporting
• Ensure data reliability, quality, and performance across systems
• Integrate data from multiple sources (APIs, databases, event streams, third-party tools)
• Collaborate with analysts, data scientists, and software engineers to support business needs
• Monitor pipelines and troubleshoot data issues proactively
• Contribute to data architecture decisions and best practices

Requirements

• 3+ years of experience in data engineering or a related role
• Strong SQL skills and experience with relational databases
• Proficiency in at least one programming language (Python preferred)
• Experience with cloud data platforms (AWS, GCP, or Azure)
• Familiarity with data warehouses (Snowflake, BigQuery, Redshift, etc.)
• Experience building production-grade data pipelines
• Strong problem-solving and communication skills

Qualifications

• 3+ years of experience in data engineering or a related role

Skills

* Required skills