Data Architect

Há 11 horas

Brasília, Distrito Federal, Brasil Salt Tempo inteiro

Job Title: Data Architect

Job Summary: We are seeking a skilled Data Architect to design and implement a scalable data infrastructure for our marketing analytics project. The ideal candidate will have strong skills in data integration, warehousing, and processing.

Key Responsibilities:

  1. Data Source Integration:
  • Set up and maintain connectors for various data sources, with a primary focus on Adverity integration.
  • Develop and optimize data extraction and ingestion pipelines.
  • Implement data transformation and cleaning processes for marketing data.
Data Warehousing:
  • Design and implement a scalable data warehouse schema suitable for marketing analytics.
  • Set up efficient ETL/ELT processes for weekly data loading.
  • Develop data partitioning and indexing strategies for optimal query performance.
Data Quality and Governance:
  • Implement comprehensive data quality checks and validation rules.
  • Establish data lineage tracking systems.
  • Develop and enforce data governance policies in line with UK regulations.
Analytics Support:
  • Collaborate with data analysts to understand and support their data needs.
  • Optimize data models for campaign performance analysis, audience segmentation, and ROI calculations.
  • Develop and maintain data pipelines for generating weekly insights.
System Architecture:
  • Design and implement a modular, scalable architecture that can expand to other brands and countries.
  • Ensure the system can handle increasing data volumes and complexity over time.

Requirements:

  • Strong programming skills in Python.
  • Extensive experience with SQL and data warehousing concepts.
  • Proficiency in designing and implementing ETL/ELT processes.

Preferred Skills:

  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Knowledge of data governance and compliance requirements.
  • Basic understanding of DevOps practices and tools.

Technologies:

We are open to various technology solutions, but experience with some of the following is beneficial:

  • Data Integration: Apache Airflow, Talend, or similar ETL tools.
  • Data Warehousing: Snowflake, Amazon Redshift, or similar.
  • Data Quality: Great Expectations, Deequ, or similar.
  • Data Processing: Apache Spark, dbt, or similar.
  • Version Control: Git.

Nice-to-Have DevOps Skills:

Familiarity with the following DevOps practices would be beneficial:

  • Infrastructure as Code (e.g., Terraform, CloudFormation).
  • Containerization (e.g., Docker).
  • CI/CD pipelines.
  • Monitoring and logging systems.

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