Lead Data Engineer: GCP Data Pipelines & Terraform

EPAM Systems, Inc.

Turkey

On-site

TRY 5,897,000 - 7,862,000

Full time

5 days ago

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Job summary

EPAM Systems, Inc. is seeking an experienced Lead Data Engineer with strong Terraform expertise to design, build and maintain scalable data solutions on Google Cloud Platform.

You will lead the development of robust data pipelines while driving best practices across infrastructure automation and DevOps processes. Design and build scalable data pipelines using GCP services, lead data solutions leveraging BigQuery, Dataflow and Dataform/dbt, orchestrate workflows with Cloud Composer/Airflow, and

Qualifications

5+ years of hands-on experience with SQL and Python.
Expertise in GCP services including BigQuery, Dataflow and Dataform/dbt.
Proficiency in Cloud Composer/Airflow, Pub/Sub and Cloud Storage.
DevOps practices including CI/CD, GitHub Actions and Terraform.
Good verbal and written communication skills.
English proficiency at B2 level or higher.
Nice to have Google Cloud Professional Data Engineer Certification.
Familiarity with Data Lake technologies such as Iceberg.
Knowledge of CDC using Datastream.
Understanding of Dataplex, Knowledge Catalog and Analytics Hub.
Competency in Looker.

Responsibilities

Design and build scalable data pipelines using GCP services.
Lead the development of data solutions leveraging BigQuery, Dataflow and Dataform/dbt.
Orchestrate workflows with Cloud Composer/Airflow.
Manage real-time data streaming through Pub/Sub and Cloud Storage.
Implement infrastructure as code using Terraform.
Establish and maintain CI/CD pipelines with GitHub Actions.
Collaborate with stakeholders to translate business requirements into technical solutions.
Ensure data quality, reliability and performance across all systems.
Mentor team members and promote engineering best practices.

Skills

SQL

Python

GCP

Airflow

Terraform

GitHub Actions

CI/CD

Pub/Sub

Dataflow

Dataform/dbt

Datastream

Iceberg

Dataplex

Looker

BigQuery

Cloud Composer

Tools