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Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformHadoopPySparkPythonShell ScriptingSparkSQLTerraform
About the role
Key responsibilities & impact- **Analysis and Planning of Loads/Pipelines:**
- Evaluate the data warehouse architecture and requirements.
- Map data, transformations and processes to GCP services (Cloud Storage, BigQuery, Dataproc).
- Define data migration strategy (full load, incremental, CDC).
- Develop a data architecture plan on GCP.
- **Design and Data Modeling on GCP:**
- Design table schemas in BigQuery, considering performance, cost and scalability.
- Define partitioning and clustering strategies for BigQuery.
- Model data zones in Cloud Storage (Bronze, Silver and Gold).
- **ELT/ETL Pipeline Development:**
- Create data transformation routines using Dataproc (Spark) or Dataflow to load data into BigQuery.
- Translate business logic and existing transformations into GCP.
- Implement data validation and data quality mechanisms.
- **Provisioning and Infrastructure Management:**
- Use IaC tools (Terraform) to provision and manage GCP resources (BigQuery datasets/tables, Cloud Storage buckets, Dataproc clusters).
- Configure and optimize Dataproc clusters for different workloads.
- Manage networking, security (IAM) and access on GCP.
- **Performance and Cost Optimization:**
- Optimize queries in BigQuery to reduce costs and improve performance.
- Tune and optimize Spark jobs on Dataproc.
- Monitor and optimize GCP resource usage to control costs.
- **Data Security and Governance:**
- Implement and ensure data security in transit and at rest.
- Define and apply IAM policies to control access to data and resources.
- Ensure compliance with data governance policies.
- **Monitoring and Support:**
- Troubleshoot performance and functional issues of data pipelines and GCP resources.
- **Documentation:**
- Document the architecture, data pipelines, data models and operational procedures.
- **Communication:**
- Communicate effectively with team members, stakeholders and other business areas.
- Ensure clear communication between architecture definitions and software components, and support the evolution and quality of the team's developments.
- **Jira / Agile Methodologies:**
- Familiarity with agile methodologies, ceremonies and proficiency with the Jira tool.
Requirements
What you’ll need- **Google Cloud Platform (GCP):**
- **BigQuery:** Deep knowledge in data modeling, query optimization, partitioning, clustering, data loading (streaming and batch), security and data governance.
- **Cloud Storage:** Experience managing buckets, storage classes, lifecycle policies, access control (IAM) and data security.
- **Dataproc:** Skills in provisioning, configuring and managing Spark/Hadoop clusters, job optimization, and integration with other GCP services.
- **Dataflow/Composer/DBT:** Knowledge of orchestration and data-processing tools for ELT/ETL pipelines.
- Proven minimum of 3 years of experience in GCP.
- Proven minimum of 3 years of experience in DBT (preferred).
- Proven minimum of 3 years of experience in PySpark.
- Proven experience with GitFlow.
- **Cloud IAM (Identity and Access Management):** Implementation of security policies and fine-grained access control.
- **VPC, Networking and Security:** Understanding of networks, subnets, firewall rules and cloud security best practices.
- **Programming Languages:**
- **Python and PySpark:** Essential for automation scripts, pipeline development and integration with GCP APIs.
- **SQL (advanced):** For BigQuery, DBT and data transformations.
- **Shell Scripting:** For task automation.
- **Version Control:**
- Git / GitHub / Bitbucket.
Benefits
Comp & perks- 🏥 Porto Seguro Health Plan
- 🦷 Porto Seguro Dental Plan
- 💰 Profit Sharing (PLR)
- 👶 Childcare Assistance
- 🍽️ Alelo Meal and Food Vouchers
- 💻 Home Office Allowance
- 📚 Partnerships with Educational Institutions
- 🚀 Support for Certifications, including Cloud
- 🎁 Livelo Points
- 🏋️♂️ TotalPass
- 🧘♂️ Mindself
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Google Cloud Platform (GCP)BigQueryCloud StorageDataprocDataflowDBTPythonPySparkSQLShell Scripting
Soft Skills
communicationtroubleshootingdocumentationteam collaborationstakeholder engagement
