Analytics Engineer, Mid-Level

Job not on LinkedIn

🕒 July 16

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 26%

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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Extractta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.

📋 Description

• Work with Python and Spark for large-scale data processing, using Airflow as the orchestration tool. • Own extraction and integration pipelines on AWS, operating in distributed environments such as Kubernetes and EMR. • Work on data storage and analytical layers using SQL, S3 and Trino, supporting data modeling and analytical queries. • Participate in defining and maintaining data infrastructure with Terraform, backed by a proprietary Infrastructure-as-Code (IaC) framework. • Collaborate with engineering, analytics and business teams on Spark job tuning and optimization, pipeline versioning and standardization, and contribute to platform observability, governance and scalability best practices.

🎯 Requirements

• Solid experience developing data pipelines (ingestion, transformation, and delivery). • Proficient in Python for data processing. • Experience with Spark for large-scale processing. • Familiarity with Airflow for workflow orchestration. • Experience with AWS data services, especially S3 and EMR. • Experience with distributed environments and containerization using Kubernetes. • Strong SQL skills for data modeling and analytical queries. • Experience with distributed query engines such as Trino. • Knowledge of Infrastructure as Code (IaC) using Terraform. • Experience with version control (Git). • Experience optimizing and tuning Spark jobs. • Knowledge of data governance, observability and data quality best practices.

🏖️ Benefits

• Competitive compensation based on experience • Opportunities for growth within the company and participation in strategic projects • Dynamic and challenging work environment • Opportunity to work at a company experiencing strong market growth.