Mid-Level Data Engineer

🔥 14 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Spread Tecnologia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1983

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Spread Tecnologia is a company dedicated to providing a comprehensive collection of emojis for various devices, including iOS and Android. They offer an easy-to-use platform for searching, copying, and pasting emojis, along with detailed meanings and examples of emoji usage. The company focuses on enhancing the way users communicate through emojis, continuously working to introduce new features and collections.

📋 Description

• Design and implement efficient batch and streaming data pipelines, integrating different sources and formats • Maintain and optimize databases and data lakes, ensuring security and performance • Develop data ingestion, transformation, and delivery processes (ETL/ELT) • Ensure data quality, integrity, and consistency throughout the data lifecycle • Collaborate with data science, analytics, and software development teams • Monitor and automate data workflows, proposing continuous improvements to the architecture • Implement best practices for version control, documentation, and data governance • Contribute to the advancement of a data-driven culture within innovation teams

🎯 Requirements

• Experience working as a Data Engineer • Proficiency in data-oriented programming languages (Python, SQL, Scala, or equivalent) • Experience with data processing tools and frameworks (Airflow, Spark, Kafka, dbt, Pub/Sub, Kinesis, Cloud Functions, Lambda Functions, etc.) • Knowledge of relational and non-relational databases (PostgreSQL, MongoDB, BigQuery, Redshift, etc.) • Knowledge of MLOps (Vertex AI, Amazon SageMaker/Bedrock) • Experience with cloud environments (GCP and AWS) and managed data services • Best practices in version control (Git) and continuous integration • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field • Knowledge of data modeling for AI, Machine Learning, and/or Deep Learning (preferred) • Familiarity with data governance and cataloging tools, such as Data Catalog (preferred) • Experience with infrastructure as code (Terraform, CloudFormation) (preferred) • Certifications in cloud data engineering or architecture (Google Professional Data Engineer or AWS Data Engineer) (preferred)

🏖️ Benefits

• 100% remote work, depending on the contract model • Accessibility and inclusion: this position is also open to persons with disabilities