Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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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Grupo EASY

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

💼 Consulting

🤝 B2B

Consulting • B2B

Grupo EASY is a business consulting firm whose purpose is to simply and measurably solve organizational problems by strengthening the capabilities and imagination of people within organizations to continuously improve team results. They focus on improving teamwork and performance through consulting, capability-building and practical organizational solutions.

📋 Description

• Design, develop, orchestrate, and optimize batch and streaming data pipelines on Google Cloud • Develop and maintain scalable, reliable, and efficient data engineering solutions • Connect and integrate data from Oracle (OCI), on-premises SQL Server, and AWS S3 • Ensure data quality, scalability, monitoring, and governance • Optimize storage and processing costs • Support Data Science and Data Analytics teams by preparing information for business consumption • Develop Dataflow pipelines to extract data from Oracle and SQL Server, transform it, and load it into BigQuery • Structure analytical models in BigQuery across Raw, Bronze, Silver, and Gold layers • Implement orchestrations in Cloud Composer with ordered execution, monitoring, and failure handling • Document tables, metadata, and data assets using Dataplex and/or Data Catalog

🎯 Requirements

• Strong experience with Google Cloud Platform (GCP) • 3–5 years of professional experience • Proficiency in Python • Advanced SQL (BigQuery) • Version control with Git / CI/CD • Experience with BigQuery, Dataflow, Dataproc, and Pub/Sub • Experience with real-time and batch ETL/ELT pipelines • Experience integrating Oracle, SQL Server, and MySQL via JDBC or custom solutions • Experience with Cloud Storage and Data Lakes • Knowledge of partitioning and clustering in BigQuery • Knowledge of Dataproc (Spark/Hadoop) and NoSQL databases (Bigtable, Firestore) • Experience with dbt or Dataform • Experience with Cloud Composer (Airflow) or Workflows • Knowledge of Cloud Functions and Cloud Run • Bachelor’s degree preferred • Experience with or knowledge of hospital information systems and healthcare is a plus

🏖️ Benefits

• Full-time position • Opportunity to work on challenging and innovative projects • Highly skilled team • Collaborative culture focused on continuous learning • Professional growth opportunities