GCP Data Engineer

Casado; Brazil; Remote; BRL 120,000 - 180,000; Full time

Job summary

Casado is seeking a GCP Data Engineer for a contract role in Brazil (remote). You will design and implement scalable data pipelines on Google Cloud, optimize BigQuery, and collaborate with BI teams.

Responsibilities include building batch and streaming pipelines with Dataflow, orchestrating with Cloud Composer, applying Terraform IaC, and developing LookML in Looker. Strong data governance awareness is preferred.

Qualifications

• 3–5 years hands-on experience on Google Cloud Platform.
• Deep knowledge of BigQuery and Dataflow.
• Proficiency in Python, Java or Scala and strong SQL.
• Understanding of data modeling (Star, Snowflake, Data Vault 2.0).
• Experience with LookML and Looker deployments.
• GCP Professional Data Engineer or Cloud Architect certifications a plus.

Responsibilities

• Design and build scalable batch and real-time data pipelines on GCP.
• Optimize BigQuery warehouses for performance and cost.
• Orchestrate data workflows with Cloud Composer (Airflow).
• Apply IaC with Terraform and maintain CI/CD pipelines for data deployments.
• Model data and develop LookML in Looker.
• Implement data governance, metadata management and data quality testing.
• Ensure data privacy and compliance with DLP and IAM.

Skills

GCP Expertise

Python/Java/Scala

SQL proficiency

Data Modeling

Looker/LookML

Data Pipeline design

Data Governance

BigQuery optimization

Data Platform Architecture

Tools

Dataflow

Cloud Data Fusion

Cloud Composer

Terraform

Looker

Job description

Job Title – GCP Data Engineer

Job Location – Brazil (Remote)

Experience level – 5+ Years

Job type – Contract

Job Description

We are looking for the below skills: BigQuery, Dataflow, or Looker, Data Platform on GCP, Preferred Data Governance

Key Responsibilities

• Data Platform Architecture & Pipeline Engineering
  • Design & Build: Develop robust, scalable, and automated Lambda/Kappa data pipelines for both batch and real-time streaming data using GCP Dataflow (Apache Beam) and Cloud Data Fusion.
  • Data Warehousing: Optimize and manage enterprise data warehouses in Google BigQuery, ensuring efficient storage, partitioning, clustering, and query performance.
  • Orchestration: Work with orchestration tools like Cloud Composer (Apache Airflow) to manage complex data workflows and dependencies.
  • CI/CD & DevOps: Implement Infrastructure as Code (IaC) using tools like Terraform and maintain CI/CD pipelines for seamless data deployment.
• Business Intelligence & Enablement
  • Semantic Modeling: Collaborate with analytics teams to model data and develop robust LookML models within Looker.
  • Performance Tuning: Optimize Looker queries and BigQuery costs by implementing caching strategies, materialized views, and efficient BI Engine configurations.
• Data Governance & Quality (Preferred)
  • Compliance & Security: Implement data governance frameworks on GCP using Dataplex, Cloud Data Loss Prevention (DLP), and IAM policies to ensure data privacy and compliance.
  • Data Lineage & Cataloging: Establish and maintain data catalogs, metadata management, and end-to-end data lineage.
  • Data Quality: Build automated testing frameworks to monitor data quality, anomalies, and pipeline health.

Qualifications & Skills

• Required Technical Skills
  • GCP Expertise: Minimum of 3–5 years of hands‑on experience building production-grade data solutions on Google Cloud Platform.
  • Core Tools: Deep, practical knowledge of BigQuery (SQL optimization, slot management) and Dataflow (Apache Beam in Python or Java).
  • Programming: Strong proficiency in Python, Java, or Scala, alongside expert‑level SQL skills.
  • Data Modeling: Solid understanding of data modeling concepts (Star Schema, Snowflake Schema, Data Vault 2.0).
  • Looker/LookML: Experience writing LookML, building explores, and managing Looker deployments.
  • Data Governance: Familiarity with GCP Dataplex, Apache Atlas, or similar data governance and cataloging suites.
• Certifications: GCP Professional Data Engineer or GCP Professional Cloud Architect certification is a major plus.

Attributes

Strong problem‑solving skills with the ability to handle open‑ended, complex data challenges.

Excellent communication skills, with the ability to bridge the gap between technical engineering and business stakeholders.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.