Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

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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Runtalent

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.

📋 Description

• Design and implement data ingestion, transformation, and orchestration pipelines on Google Cloud • Ensure the quality, reliability, and scalability of batch and streaming data flows • Optimize storage and processing costs in BigQuery, Dataflow, Dataproc, and Pub/Sub • Collaborate with data scientists and analysts to deliver consumption-ready data

🎯 Requirements

• Data ingestion with Dataflow (Apache Beam) for scalable ETL/ELT pipelines, including extraction from external sources such as Oracle on OCI and on-premises SQL Server • Real-time ingestion with Pub/Sub and batch ingestion with Storage Transfer, including sources such as AWS S3 buckets • Integration with Oracle, SQL Server, and MySQL via JDBC, Dataflow templates, or custom extraction • Experience with BigQuery, including data modeling, query optimization, partitioning, and clustering • Experience using Cloud Storage as a layered data lake (raw, bronze, silver, gold) • Dataform or dbt for SQL orchestration in BigQuery, along with dimensional modeling best practices • Batch and streaming processing with Beam and streaming SQL • Orchestration with Cloud Composer (Airflow) or Workflows • Integration with Cloud Functions and Cloud Run for serverless tasks • Advanced SQL (BigQuery SQL), Python (Dataflow, automation, ETL), and Git with CI/CD • Familiarity with Dataproc, Bigtable, and Firestore is desirable • Familiarity with Dataplex and Data Catalog for data documentation and cataloging is desirable • Familiarity with healthcare systems, including PEP/EMR/EHR, RIS, LIS, and scheduling and referral management systems, is desirable