Senior Data Engineer: Domino ML Pipelines

EPAM Systems; Mexico; On-site; PHP 4,514,000 - 6,897,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems is seeking a Senior Data Engineer to head the design, development, and upkeep of data and ML pipelines on the Domino Data Lab platform. This role centers on data engineering and MLOps, building reliable data pipelines and managing compute infrastructure to keep the platform running efficiently and securely.

The ideal candidate will have 3+ years of experience, expert Python, strong SQL, and hands-on Kubernetes, Docker, and CI/CD experience, plus cloud familiarity.

Qualifications

• At least 3 years of relevant experience.
• Deep hands-on experience with the Domino Data Lab platform (Data Sources, Datasets, Environments, Projects, Jobs, Flows).
• Expert-level Python for data engineering and pipeline development.
• Strong SQL skills for data extraction, transformation and optimization.
• Familiarity with Bash, R; scripting automation.
• Experience building and maintaining ETL/ELT pipelines.
• Kubernetes experience with EKS/AKS/GKE; deploy and fine-tune data/ML workloads.
• Docker for data/ML workloads; container images.
• CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions or Azure DevOps.
• Experience with at least one major cloud provider (AWS/Azure/GCP).
• Excellent English proficiency (B2+).

Responsibilities

• Build and sustain dependable data pipelines powering analytics and ML workloads.
• Handle end-to-end data workflows: ingestion, transformation, delivery.
• Manage compute infrastructure to keep platform operations efficient and secure.
• Diagnose and resolve pipeline performance and data quality issues.
• Collaborate with data scientists and engineers on infrastructure needs.
• Define and champion best practices for platform usage and data workflows.
• Automate testing and deployment to boost reliability.
• Monitor pipeline health and preempt bottlenecks or failures.
• Drive improvements to internal tools and processes for data ops.
• Record designs and configurations to enable knowledge sharing.

Skills

Python

SQL

Bash

R

Docker

Kubernetes

CI/CD

Cloud platforms

Tools

Jenkins

GitLab CI

GitHub Actions

Azure DevOps

Job description

EPAM Systems is seeking a Senior Data Engineer to head the design, development, and upkeep of data and ML pipelines on the Domino Data Lab platform. This role centers on data engineering and MLOps, building reliable data pipelines and managing compute infrastructure to keep the platform running efficiently and securely.

The ideal candidate will have 3+ years of experience, expert Python, strong SQL, and hands-on Kubernetes, Docker, and CI/CD experience, plus cloud familiarity.