Senior Data Software Engineer/ Airflow, Snowflake, AI, dbt

EPAM Systems, Inc.; Turkey; On-site; TRY 4,423,000 - 5,897,000; Full time

Benefits offered by this job

Private health insurance

Well-being events

Mentoring programs

Professional development support

Learning platforms with 2,500+ courses

Job summary

EPAM Systems, Inc. is seeking a Senior Data Software Engineer to implement monitoring, incident management, and operator health views for an automated Data Platform Monitoring solution.

You will design and maintain robust monitoring rules, incident automation, and health views to ensure reliability and observability of data products and pipelines. The role requires 3+ years in data engineering, expertise in Apache Airflow, Snowflake, and dbt, and strong skills in building data pipelines,

Qualifications

• 3+ years of experience in data engineering roles.
• Expertise in Apache Airflow, Snowflake, and dbt.
• Proficiency in building and maintaining data pipelines, transformation logic, and operational data flows.
• Background in implementing monitoring, observability, and alerting for data platforms.
• Skills in incident automation and integration with Jira.
• English proficiency at an Upper-Intermediate level (B2) or higher.

Responsibilities

• Implement monitoring rules for data pipeline health, freshness, volume, run outcomes, and other agreed monitoring objectives.
• Develop data processing and transformation logic for monitoring events and operational data.
• Build automated Jira incident creation based on detected monitoring events.
• Ensure incidents contain the required information and support notification and status tracking.
• Develop and maintain the operator workspace/health view and enable integration with Snowflake and other components.
• Participate in testing monitoring rules and incident automation against failures and troubleshoot issues.

Skills

Data engineering

Incident automation

AI capabilities in data platform

Tools

Apache Airflow

Snowflake

dbt

Jira

Job description

We are seeking a Senior Data Software Engineer to implement monitoring, incident management, and operational capabilities for an automated Data Platform Monitoring solution. In this role, you will design and maintain robust monitoring rules, incident automation, and operator health views to ensure the reliability and observability of data products and pipelines.ResponsibilitiesImplement monitoring rules for data pipeline health, freshness, volume, run outcomes, and other agreed monitoring objectivesDevelop data processing and transformation logic for monitoring events and operational dataBuild automated Jira incident creation based on detected monitoring eventsEnsure incidents contain the required information, including component, region, DAG/job, run, timestamp, detecting check, error reference, and severitySupport incident recurrence handling, stakeholder notification, and monitoring of incident statusDevelop and maintain the operator workspace/health view for monitoring data products and pipeline statusEnable integration of monitoring data with Snowflake and other components of the solutionParticipate in testing monitoring rules and incident automation against real and historical failuresTroubleshoot issues, improve monitoring logic, and support solution handoverRequirements3+ years of experience in data engineering rolesExpertise in Apache Airflow, Snowflake, and dbtProficiency in building and maintaining data pipelines, transformation logic, and operational data flowsBackground in implementing monitoring, observability, and alerting for data platformsSkills in incident automation and integration with tools such as JiraFamiliarity with applying AI capabilities within data platform or monitoring solutionsUnderstanding of pipeline health metrics, including freshness, volume, and run outcomesCapability to troubleshoot complex data platform issues and drive continuous improvementEnglish proficiency at an Upper-Intermediate level (B2) or higherWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.