EXL

GCP Data Engineer

EXL

full-time

Posted on:

Location Type: Hybrid

Location: United States

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Tech Stack

AirflowBigQueryCloudETLGoogle Cloud PlatformKubernetesPythonSparkSQL

About the role

  • Design, build, and maintain scalable, secure, and high-performance data pipelines on GCP.
  • Develop and manage ETL/ELT workflows using Python, SQL, Cloud Composer, and DataProc.
  • Create and optimize enterprise-grade data models and storage solutions using BigQuery.
  • Partner with Data Science teams to support model development, experimentation, feature engineering, and ML pipeline deployment, including leveraging Vertex AI.
  • Set up and maintain CI/CD pipelines using GitHub Actions, ensuring automated testing, versioning, and deployment of data workflows.
  • Use GKE to orchestrate containerized data applications and services.
  • Implement best practices in data quality, version control, monitoring, and performance tuning.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science, Business) to translate data needs into technical solutions.
  • Ensure data governance, security, and compliance with enterprise and regulatory standards.

Requirements

  • 4–7 years of experience as a Data Engineer or similar role, with strong hands-on work in GCP.
  • Expertise in Python for data processing, automation, and pipeline development.
  • Strong proficiency in SQL, including building complex queries and optimizing performance.
  • Hands-on experience with core GCP data engineering services:
  • BigQuery (data modeling, performance optimization, storage practices)
  • Cloud Composer (Airflow orchestration)
  • DataProc (Spark workloads)
  • GKE (Kubernetes-based deployment)
  • Experience working with Vertex AI, supporting Data Science workflows such as training pipelines, model registry, feature store, and deployment.
  • Experience in CI/CD setup using GitHub Actions for data and ML pipelines.
  • Strong understanding of data architecture, schema design, and distributed data systems.
  • Ability to work closely with Data Scientists and translate analytical needs into engineering solutions.
  • Excellent communication and problem-solving skills, with the ability to work in a fast-paced, collaborative environment.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLETLELTBigQueryCloud ComposerDataProcGKECI/CDdata architecture
Soft Skills
communicationproblem-solvingcollaboration