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

EPAM Systems; Turkey; On-site; TRY 4,442,000 - 6,417,000; Full time

Benefits offered by this job

Private health insurance

English courses

Continuous upskilling

Referral bonuses

Learning platforms with 2,500+ courses

Mentoring programs

Job summary

EPAM Systems seeks a Senior Data Software Engineer to implement monitoring, incident management, and operational capabilities for an automated Data Platform Monitoring solution. You will design robust monitoring rules and operator health views to ensure reliability of data products and pipelines.

Role involves integrating monitoring data with Snowflake and other components, developing automation with Jira, and continuously improving monitoring logic.

Qualifications

• 3+ years of experience in data engineering roles.
• Expertise in Apache Airflow, Snowflake, and dbt.
• Experience building and maintaining data pipelines and monitoring data platforms.
• Experience with incident automation and Jira integration.
• English proficiency at an Upper-Intermediate level (B2) or higher.

Responsibilities

• Implement monitoring rules for data pipeline health, freshness, volume, run outcomes, and other 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 component, region, DAG/job, run, timestamp, detecting check, error reference, and severity.
• Support incident recurrence handling, stakeholder notification, and monitoring of incident status.
• Develop and maintain the operator workspace/health view for monitoring data products and pipeline status.
• Enable integration of monitoring data with Snowflake and other components of the solution.
• Participate in testing monitoring rules and incident automation against real and historical failures.
• Troubleshoot issues, improve monitoring logic, and support solution handover.

Skills

Airflow

Snowflake

dbt

Data pipelines

Monitoring

Incident automation

Jira integration

AI capabilities

English (B2+)

Tools

Jira

Snowflake

dbt

Apache Airflow

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.

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, including component, region, DAG/job, run, timestamp, detecting check, error reference, and severity
• Support incident recurrence handling, stakeholder notification, and monitoring of incident status
• Develop and maintain the operator workspace/health view for monitoring data products and pipeline status
• Enable integration of monitoring data with Snowflake and other components of the solution
• Participate in testing monitoring rules and incident automation against real and historical failures
• Troubleshoot issues, improve monitoring logic, and support solution handover

Requirements

• 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 tools such as Jira
• Familiarity with applying AI capabilities within data platform or monitoring solutions
• Understanding of pipeline health metrics, including freshness, volume, and run outcomes
• Capability to troubleshoot complex data platform issues and drive continuous improvement
• English proficiency at an Upper-Intermediate level (B2) or higher

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers
• CORPORATE BENEFITS
• Extra leave days
• Referral bonuses
• COMPENSATION PACKAGE
• Competitive compensation paid in USD
• Regular salary and performance reviews
• MEDICAL & HEALTHCARE
• Private health insurance
• Well-being events
• WORKING ENVIRONMENT
• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’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.