DATA SUPPORT ENGINEER | XLP418

N-ix


N-iX is looking for a passionate, skilled and motivated** Middle/Senior Data Support Engineer** to join the team. Our customer is the leading school transportation solutions provider in North America. Every day, the company completes 5 million student journeys, moving more passengers than all U.S. airlines combined and delivers reliable, quality services including full-service transportation and management, special-needs transportation, route optimization and scheduling, maintenance, and charter services for 1,100 school district contracts. N-iX is building cooperation with the client through several projects of different sizes and durations. Currently, the account contains around 10 projects in different stages and keeps actively growing. **Responsibilities**: Support services include: - Provide support in production environments in all data and analytics environments - Plan, test, and implement server upgrades, maintenance fixes, and vendor-supplied patches - Create, handle, and monitor all data and analytics pipelines; resolve all pipeline failure - Build, update, and run scripts in all Data Transformation tooling; troubleshoot, diagnose, and fix errors related to data ingestion - Oversee development and modification efforts in all Client's warehouse environments - Install, configure, and provide support after implementation Resource Qualifications: Resources assigned to the Managed Services Team will be proficient in the support of cloud data and analytics technologies within the Azure, AWS, Snowflake, and Databricks technology suites. **Requirements**: - Upper-intermediate English written and verbal communication skills - Experience with CI/CD pipelines monitoring (T1) and fixing (T2) - Insights BI queue monitoring in ServiceNow and ticket resolution - ServiceDesk activities' management - Experience in the support of cloud data and analytics technologies within the Azure, AWS, Snowflake, and Databricks technology suites - Strong SQL skills - Good Python skills - Good knowledge of Data Warehouse concepts - Nice to have: Experience with Spark - Perfect troubleshooting skills - Readiness to communicate with end users in effective and efficient manner **We offer**: - Flexible working format - remote, office-based or flexible - A competitive salary and good compensation package - Personalized career growth - Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) - Active tech communities with regular knowledge sharing - Education reimbursement - Paid vacation days, sick leaves, and days off - Healthcare & Sport program - Medical insurance - Memorable anniversary presents - Corporate events and team buildings

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