Overview

••••'s Operational Intelligence practice is expanding from classic infrastructure and application observability into Data & AI Reliability Engineering. We are looking for a Data Reliability Engineer who will apply SRE principles to data pipelines and data platforms — moving our clients from reactive firefighting to proactive management of data quality, so that data stays accurate, complete, fresh and available end-to-end.

This is an engineering role, not an L1/L2 support role: you will build detection, automation and prevention rather than sit in a 24/7 on-call rotation. You will work across client engagements and practice-level initiatives — reusable data quality frameworks, accelerators, and internal enablement.

What You’ll Get

  • A practice that is actively building a new capability — your work becomes the standard, not a copy of someone else's runbook
  • Engineering focus without 24/7 on-call rotation
  • Internal certification and enablement tracks (Databricks, AI/LLM, Data Observability learning path in Learn)
  • Cross-client exposure: enterprise-scale retail, financial services and manufacturing accounts

Responsibilities

  • Design and implement end-to-end data observability across pipelines and data platforms, covering the core data quality pillars: freshness, volume, schema, completeness and accuracy
  • Embed automated data quality checks into CI/CD pipelines and orchestrators (e.g., dbt tests, Great Expectations, native platform checks)
  • Configure anomaly detection — including dynamic and ML-based thresholds — for data drift, volume anomalies and pipeline failures
  • Define, measure and report Data SLIs, SLOs and error budgets together with business and data product stakeholders
  • Perform root cause analysis by tracing data lineage upstream to the exact origin of a failure; drive problem management so incidents do not recur
  • Design architectural guardrails for data pipelines: circuit breakers, dead-letter queues, retry and rollback mechanisms, self-healing patterns
  • Implement monitoring and alerting as code (Terraform / GitOps) instead of manual UI configuration
  • Reduce alert noise through event correlation, tagging standards and actionable alert design
  • Build reusable data quality and observability frameworks, templates and accelerators adopted by multiple data product teams
  • Lead post-incident reviews and translate learnings into systemic platform improvements
  • Contribute to presales activities, client-facing assessments and internal training materials for the practice

Requirements

  • 4+ years in SRE, DevOps, Data Engineering or Data Platform Operations, with at least 1–2 years focused on data platforms or data pipelines
  • Solid SRE fundamentals: Golden Signals, SLI/SLO definition and calculation, error budgets and burn rate, incident lifecycle, ITIL basics
  • Strong SQL and practical Python for automation and validation scripting
  • Hands-on production experience with at least one cloud platform: Azure, AWS or GCP
  • Experience with at least one modern data platform and orchestration stack — Databricks (preferred), Snowflake, Spark, Airflow, Azure Data Factory, dbt
  • Working knowledge of observability tooling: New Relic, Datadog, Splunk, Elastic Stack, Grafana / OpenTelemetry (any two or more)
  • Infrastructure as Code with Terraform (Ansible is a plus) and CI/CD experience (Azure DevOps, GitLab CI, GitHub Actions)
  • Experience with incident and change management tooling: ServiceNow, PagerDuty or equivalent
  • Ability to troubleshoot complex distributed data issues under SLA pressure
  • B2+ English — the role is client-facing and requires clear written and spoken technical communication

Nice to have

  • Databricks certification (Data Engineer Associate / Professional) or equivalent cloud data certification
  • Hands-on experience with dedicated data observability platforms (Monte Carlo, Soda, Anomalo, Great Expectations)
  • Data catalog and lineage tooling (Unity Catalog, OpenLineage, Collibra)
  • FinOps: cloud, platform and telemetry cost optimization
  • Exposure to AI/ML pipeline monitoring or AI Reliability Engineering
  • Power BI or another BI layer, from a monitoring and reliability perspective
  • Event correlation / AIOps experience (New Relic Decisions, IBM NOI, ServiceNow ITOM)
  • Mentoring or team lead experience

Ukraine

With us you can:

  • Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
  • Receive the necessary equipment to perform your work tasks
  • Change projects and technology stacks within ••••
  • Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
  • Relocation opportunities may be available for eligible candidates, depending on the role and openings at other •••• locations
  • Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

  • You can plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at •••• Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

  • Vacation and sick leave (including a sick leave without a medical certificate)
  • A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
  • Medical insurance for family members at corporate rates
  • Company support during significant life events (childbirth or adoption, marriage, etc.)
  • Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
  • E-kids program - a free programming language training program for EPAMers' children

[epamgdo] Ukraine (Remote)

Kindly note that this role supports remote work, but only from within Ukraine.

[epamgdo] Ukraine (benefits may differ)

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

[epamgdo] Ukraine (About ••••)

•••• strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of ••••'s success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.