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High-Performance Data Architect

2 semanas atrás

Belo Horizonte, Minas Gerais, Brasil Indrasol Tempo inteiro

Key Responsibilities

As a Senior Data Engineer at Indrasol, your primary focus will be on designing, developing, and managing high-performance data pipelines and workflows. Your responsibilities will include:

  • Developing and maintaining scalable ETL/ELT pipelines to process large datasets.
  • Writing advanced SQL queries and transformations within Snowflake to optimize data storage and retrieval.
  • Leveraging Apache Airflow for workflow orchestration and automating complex data processing tasks.
  • Creating reusable Python scripts to automate data extraction, transformation, and loading processes.
  • Monitoring and optimizing the performance of data pipelines to ensure high availability and minimal downtime.
  • Collaborating with cross-functional data teams to implement data modeling best practices and maintain a clean data warehouse.
  • Integrating and managing cloud-based data infrastructure on platforms like AWS, GCP, or Azure.

Requirements

  • Expert-level proficiency in SQL for data querying, transformation, optimization, and performance tuning.
  • Strong hands-on experience with Apache Airflow for scheduling and orchestrating complex data pipelines.
  • Expertise in building and optimizing ETL/ELT solutions and familiarity with data pipeline orchestration.
  • Proficient in Python for writing scalable and reusable scripts to automate data workflows.
  • Experience with Snowflake, including schema design, performance tuning, and leveraging Snowflake features.
  • Familiarity with cloud platforms and their data services for integrating data sources.
  • A solid understanding of data modeling techniques and data warehouse concepts.