GCP Data Engineer

Mindlance

Phoenix (AZ)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Job summary

A multinational technology consulting company is seeking a skilled professional to manage GCP data environments and develop data quality frameworks. The role includes responsibilities like designing and optimizing data pipelines, implementing IAM policies, and ensuring compliance and performance of data systems. This position offers a hybrid work model based in Phoenix, AZ, ideal for those with strong experience in GCP, SQL, and Python.

Qualifications

  • Strong experience in GCP tools and platforms.
  • Hands-on SQL and Python programming skills required.
  • Understanding of IAM policies and service accounts.

Responsibilities

  • Validate and assess GCP data environments and Lakehouse architecture.
  • Develop and automate Data Quality frameworks.
  • Design and optimize GCP data pipelines.
  • Implement IAM policies and secure access for data platforms.
  • Collaborate with architecture, security, and analytics teams.

Skills

GCP (BigQuery, GCS, Dataflow/Dataproc)
SQL
Python
GCP IAM
Airflow / Composer

Job description

Location: Phoenix, AZ (Hybrid working – 3 days onsite/2 days remote)

Contract: 24 Months on W2 (Not open for C2C/1099 at all)

Responsibilities
  • Validate and assess GCP data environments and Lakehouse architecture
  • Develop and automate TDQ (Data Quality) frameworks
  • Design and optimize GCP data pipelines
  • Implement IAM policies and secure access for data platforms
  • Ensure scalability, performance, and compliance of data systems
  • Collaborate with architecture, security, and analytics teams
Required Skills
  • Strong experience in GCP (BigQuery, GCS, Dataflow/Dataproc)
  • Hands-on SQL and Python
  • GCP IAM, service accounts, RBAC
  • Experience with Airflow / Composer
  • Understanding of Lakehouse architecture
EEO

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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