Intermediate Data Developer – Data Engineering

🕒 February 27

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Plusgrade

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🤝 B2B

💰 $5.2M Grant on 2022-11

B2B • Travel

Plusgrade is a company providing ancillary revenue solutions to the global travel industry. With a focus on airlines, hospitality, cruise, rail, and loyalty solutions, Plusgrade helps travel companies generate significant revenue through high-margin enhancements and customer experiences. Plusgrade's offerings include premium upgrades, seat blockers, and loyalty program innovations, contributing over $5 billion in new revenue opportunities in 2023. The company is trusted by over 200 travel partners across 60 countries, delivering remarkable customer experiences and enabling travel partners to increase engagement and revenue without upfront costs or risk.

📋 Description

• Design, develop, and maintain robust ETL/ELT pipelines to integrate data from multiple sources into a centralized cloud-based data platform • Build scalable data ingestion, transformation, and enrichment processes using Python, SQL, and PySpark • Optimize data workflows for performance, scalability, and cost efficiency in the cloud • Implement data quality and validation checks to ensure trust in reporting, analytics, and data-driven products • Collaborate with cross-functional teams to translate business requirements into technical data solutions • Support large-scale transformations using distributed processing frameworks • Troubleshoot and resolve issues in data pipelines, ensuring reliability and uptime • Participate in code reviews and contribute to engineering standards and best practices • Document data processes, pipelines, and schemas to improve transparency and reusability • Stay current with modern data engineering tools, practices, and cloud technologies, with a passion for continual learning and knowledge sharing • Build with stakeholders in mind, not just raw pipelines.

🎯 Requirements

• 3+ years of experience in data engineering, data development, or data management • Strong hands-on experience with Snowflake and modern data warehouse concepts (data lakes, lakehouse, streaming) • Proficiency in Python and SQL for building and optimizing data pipelines • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and data platforms such as Snowflake • Experience with ETL/ELT, data modeling, and data warehousing concepts • Experience with orchestration tools (Airflow, Dagster) • Hands-on experience with PySpark and distributed data processing frameworks (e.g., AWS EMR) • Knowledge of pipeline performance optimization and debugging • Strong problem-solving, analytical, and collaboration skills • Experience with version control (Git) and CI/CD workflows

🏖️ Benefits

• RRSP matching • Comprehensive health plans • Flexible paid time off • Travel experience perk • Annual wellness perk • Commuter perk • Tenure-based Work From Anywhere program • Parental leave top-up • Adventure Pass • Learning allowance