Data Engineering Specialist

Há 3 dias

Curitiba, Brasil beBeeEngineer Tempo inteiro
Job Title:

Data Engineering Specialist

Description:

We are seeking an experienced Data Engineer to join our team. Our client provides technical expertise, testing, and certification services to the global food and agricultural industry.

Key Responsibilities:
  • Data Pipeline Development: Design, build, maintain, and modernize data pipelines that process large-scale regulatory data from around the world.
  • Data Transformation: Work hands-on with Python, SQL, and related tools to transform data into usable datasets for downstream applications and APIs.
  • Process Migration: Migrate processes to more maintainable platforms such as Airflow and ensure data accuracy, reliability, and readiness for client-facing products.
Requirements:
  • Minimum 7 Years' Experience: Minimum 7 years' experience using Python for analyzing, extracting, creating, and transforming large datasets.
  • Python Proficiency: Proficiency in Python 3+ and common Python libraries and tools for data engineering, specifically Pandas, NumPy, and Jupyter Notebooks.
  • SQL Proficiency: Deep experience with SQL and relational data using Oracle, Postgres, or MS SQL Server.
  • Database Design: Solid understanding of database design principles, data modeling, and data warehousing concepts.
  • Troubleshooting Skills: Excellent troubleshooting skills and instincts.
PREFERRED QUALIFICATIONS:
  • NoSQL Database Design: NoSQL database design and development using MongoDB, AWS DynamoDB, or Azure Cosmos DB.
  • Cloud Platforms: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and services related to data storage/processing.
  • Infrastructure-as-Code: Exposure to Terraform or other Infrastructure-as-Code tooling.
  • Azure DevOps: Proficient in Azure DevOps for source code and pipeline management.

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