Senior Data Engineer with Terraform

EPAM Systems; Turkey; On-site; TRY 4,375,000 - 7,292,000; Full time

Benefits offered by this job

Private health insurance

Learning & development program

Mentoring programs

English language courses

Various certification support

Job summary

EPAM Systems is seeking a Senior Data Engineer to architect and implement scalable data pipelines on Google Cloud Platform. You will drive infrastructure automation with Terraform, manage CI/CD via GitHub Actions, and champion best practices in data engineering.

The role requires strong SQL and Python skills, plus experience with BigQuery, Dataflow, and Airflow-like schedulers. English proficiency is required for collaboration across teams.

Qualifications

• Three+ years of practical experience with SQL and Python.

Responsibilities

• Architect and develop scalable data pipelines using GCP services.
• Spearhead data solutions using BigQuery, Dataflow, and Dataform/dbt.
• Coordinate workflows with Cloud Composer/Airflow.
• Handle real-time data streaming via Pub/Sub and Cloud Storage.
• Deploy infrastructure as code with Terraform.
• Set up CI/CD pipelines using GitHub Actions.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Ensure data quality, reliability, and performance across systems.
• Mentor team members and promote engineering best practices.

Skills

SQL

Python

English communication

Tools

BigQuery

Dataflow

Dataform/dbt

Cloud Composer/Airflow

Pub/Sub

Cloud Storage

Terraform

GitHub Actions

Job description

We are looking for a skilled Senior Data Engineer with solid Terraform knowledge to architect, develop, and support scalable data solutions on Google Cloud Platform. In this position, you will spearhead the creation of reliable data pipelines while championing best practices in infrastructure automation and DevOps workflows.

Responsibilities

• Architect and develop scalable data pipelines using GCP services
• Spearhead the creation of data solutions utilizing BigQuery, Dataflow, and Dataform/dbt
• Coordinate workflows with Cloud Composer/Airflow
• Handle real-time data streaming via Pub/Sub and Cloud Storage
• Deploy infrastructure as code with Terraform
• Set up and support CI/CD pipelines using GitHub Actions
• Work with stakeholders to convert business needs into technical solutions
• Guarantee data quality, reliability, and performance throughout all systems
• Coach team members and advocate for engineering best practices

Requirements

• 3+ years of practical experience with SQL and Python
• Deep knowledge of GCP services such as BigQuery, Dataflow, and Dataform/dbt
• Competence in Cloud Composer/Airflow, Pub/Sub, and Cloud Storage
• Abilities in DevOps practices including CI/CD, GitHub Actions, and Terraform
• Strong verbal and written communication abilities
• Sound business acumen
• English skills at B2 level or above

Nice to have

• Certified as a Google Cloud Professional Data Engineer
• Experience with Data Lake technologies like Iceberg
• Understanding of CDC through Datastream
• Grasp of Dataplex, Knowledge Catalog, and Analytics Hub
• Proficiency in Looker

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.