We are seeking aLead GCP Data Engineerto design, build, and optimize scalable data platforms and pipelines onGoogle Cloud Platform (GCP). Youll lead a team of data engineers, drive data architecture decisions, and ensure the reliability and performance of our data infrastructure supporting analytics, AI/ML, and business intelligence initiatives.

Key Responsibilities

Lead the design and implementation of end-to-enddata pipelinesusing GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, etc.).
Architect and optimizedata lake and data warehouse solutionsfor scalability and performance.
Define and implementdata ingestion, transformation, and integrationstrategies using batch and streaming methods.
Collaborate with data scientists, analysts, and business stakeholders to define data requirements and deliver insights.
Enforcedata governance, security, and qualitybest practices.
Mentor and guide a team of data engineers; review code and ensure adherence to engineering standards.
Automate and monitor data workflows usingCI/CD pipelinesandinfrastructure-as-code (IaC)(Terraform / Deployment Manager).
Evaluate new GCP tools and technologies to improve efficiency and reliability.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
710 years of experience indata engineering, with at least 3 years in alead or senior role.
Strong hands-on expertise withGCP data services(BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).
Proficiency inPythonandSQLfor data processing and automation.
Experience withETL/ELT design,data modeling, anddata warehousingprinciples.
Working knowledge ofApache Beam,Spark, or other distributed data frameworks.
Experience implementingCI/CD pipelinesandIaCusing Terraform, Cloud Build, or similar tools.
Familiarity withAirflow,DBT, or other orchestration/transformation frameworks.
Excellent problem-solving, leadership, and communication skills.

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