Mid-level Data Developer

JobgetherSecurity & IT

BrazilFull-TimeMiddle

Salary not disclosed

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Job Details

Professional experience developing data pipelines and working with ETL/ELT processes.
Experience with at least one major cloud platform, such as Azure, AWS, or GCP.
Familiarity with modern data platforms such as Databricks or Snowflake.
Working knowledge of data warehousing technologies including BigQuery, Snowflake, Redshift, or similar platforms.
Proficiency in SQL and at least one programming language, such as Python, Scala, or Java.
Basic understanding of data modeling and database design principles.
Good level of English, at B2 or above, with the ability to communicate in an international environment.
Experience or exposure to working with international teams or clients.

Build and maintain data pipelines and ETL/ELT processes supporting analytics and business intelligence requirements.
Assist with the implementation of data architectures, including data lakes, warehouses, and integration layers.
Apply data quality checks, validation processes, and governance practices to ensure data accuracy, consistency, and reliability.
Support integrations between data sources, third-party tools, APIs, and analytics platforms.
Collaborate with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and contribute to technical solutions.
Monitor and help optimize data pipeline performance and query efficiency.
Contribute to technical documentation covering data architectures, pipelines, processes, and integrations.
Apply data security best practices and support compliance with data privacy requirements.
Leverage AI tools and automation to improve data engineering workflows, efficiency, and productivity.

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