Data Engineer, Mid-Level

Job not on LinkedIn

🔥 1 minute 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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Sonepar

WebsiteLinkedInAll Job Openings

10,000+ employees

🤝 B2B

📦 Logistics

B2B • Logistics

Sonepar is a global distributor of electrical products and related services. According to its careers site, Sonepar comprises 90 leading brands operating in 40 countries and offers broad international career opportunities; it emphasizes distribution of electrical supplies through many local brands and a global network. The company focuses on serving professional customers through wholesale/distribution channels and supporting an extensive supply chain and logistics operation.

📋 Description

• Build and enhance scalable data pipelines. • Develop data ingestion, transformation, and delivery processes. • Work with Spark and Databricks using a medallion architecture. • Orchestrate data workflows and pipelines. • Ensure data quality, governance, and observability. • Optimize processing performance and costs. • Contribute to engineering best practices, version control, and documentation. • Support BI, Analytics, and AI teams and projects.

🎯 Requirements

• Bachelor’s degree in Information Technology, Engineering, or a related field. • Experience in data engineering and ETL/ELT pipeline development. • Proficiency in Python and advanced SQL. • Experience with Spark and Databricks. • Knowledge of Lakehouse/Data Lake architecture. • Experience with orchestration tools such as Apache Airflow. • Knowledge of analytical data modeling (Star Schema, Snowflake, OBT, among others). • Experience with data ingestion and integration tools (e.g., Azure Data Factory, Airbyte, etc.). • Git and software development best practices.

🏖️ Benefits

• Professional development opportunities • Dynamic work environment • Encouragement of initiative, innovation, and learning from mistakes • Recognition of efforts and celebration of achievements • Diverse and inclusive work environment • Affirmative-action positions for people with disabilities