ConnectOS
ConnectOS is a leading provider of offshore talent for organisations in Australia, New Zealand, the US, Canada and the UK. For over a decade, we’ve been supporting our global clients with premium resourcing and productivity solutions.ConnectOS is one of the fastest-growing offshoring companies in the world. Founded by our Australian CEO, we help companies across a range of industries activate their capability strategies and optimise their business operations with smarter ways to solve resourcing challenges. Our vibrant, modern work environments achieve high levels of employee engagement: happy, healthy, committed people who love what they do. ConnectOS Team HQ is located at Mega Tower, EDSA in the heart of Manila, Philippines. Our Client Support HQ is based in Melbourne, Australia.
1001 - 5000 employees
Data Engineer - Airline Technology
March 18
🇵🇭 Philippines – Remote
💵 ₱100k - ₱180k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
🚫👨🎓 No degree required
ConnectOS
ConnectOS is a leading provider of offshore talent for organisations in Australia, New Zealand, the US, Canada and the UK. For over a decade, we’ve been supporting our global clients with premium resourcing and productivity solutions.ConnectOS is one of the fastest-growing offshoring companies in the world. Founded by our Australian CEO, we help companies across a range of industries activate their capability strategies and optimise their business operations with smarter ways to solve resourcing challenges. Our vibrant, modern work environments achieve high levels of employee engagement: happy, healthy, committed people who love what they do. ConnectOS Team HQ is located at Mega Tower, EDSA in the heart of Manila, Philippines. Our Client Support HQ is based in Melbourne, Australia.
1001 - 5000 employees
📋 Description
• Salary: P100,000-P180,000 (Monthly Package) • Schedule: Monday to Friday (04:00 PM -01:00 AM) • Be instrumental in the development of client's post-flight platform, particularly with data extraction, transformation and understanding parts of our product. • Build ETL pipelines to manage loyalty and ancillary transactions (e.g., points accrual, redemptions, tier upgrades). • Manage & optimize client’s AI data models by monitoring customer usage. • Enable data to be used in downstream use cases like customer segmentation, personalization, and targeted marketing. • Work with ML engineers to optimize and re-train models based on insights, usage and business aims.
🎯 Requirements
• 2+ years of experience working with airline technology, specifically loyalty CRM, ancillary management, and PSS components. Experience with NDC, GDS, or Offer & Order is a plus. • In-depth understanding of airline data management and processing, particularly for loyalty programs and ancillary services. • Strong foundation in data engineering principles, including data transformation (cleansing, enrichment, aggregation), integration (scheduling, orchestration), and data modeling (schema design, warehousing). • Proficient in Python, NodeJS, SQL, and experienced with Apache Airflow, Apache Spark, Amazon Redshift, and Docker for data processing and workflow automation. • Expertise in building and maintaining ETL pipelines and managing NoSQL databases such as MongoDB and DynamoDB.
🏖️ Benefits
• WFH • Medical, Dental Coverage and Life insurance from day 1 of employment • Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion) • Competitive salary package and annual appraisal • Financial Assistance Program • Mandatory Government Benefits and 13th Month Pay • Regular Company Events, Work Life Balance, and Career growth opportunities
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