Data Engineer

Join our next-generation platform to build scalable data pipelines serving engineering teams, stakeholders, and external partners across the organization. You will transform how we handle enterprise data through innovative pipeline architecture.

Your Responsibilities

• Cleanse, normalize, and enhance quality for operational systems and new data sources.
• Build and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Design optimized tables and datasets within Snowflake environments.
• Create data ingestion workflows supporting APIs, file transfers, and database connectors.
• Safeguard data quality, reliability, and performance across all pipeline stages.
• Collaborate in Agile settings with engineering, analytics, and product teams.
• Leverage integration tools like Fivetran, Workato, or Informatica for onboarding sources.

Requirements

• 1–3 years of professional experience as a Data Engineer.
• Proficiency in Snowflake, Python, SQL, and Airflow.
• Proven track record building ingestion pipelines across APIs, files, and databases.
• Expertise in data modeling, ETL/ELT concepts, and Agile methodologies (Scrum).
• Familiarity with integration tools is highly preferred.
• Solid understanding of development lifecycle best practices including coding standards, CI/CD basics, testing, and operations.

Nice to Have

• Experience with cloud platforms such as AWS.
• Hands-on knowledge of Git version control and CI/CD pipelines.