Senior Data Engineer

Job not on LinkedIn

🔥 2 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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IPIRANGA

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1969

🏭 Manufacturing

🚘 Automotive

Manufacturing • Automotive

IPIRANGA is a specialist in the design and manufacture of high precision ball screws, resulting from a merger of Shuton and Ipiranga. With over 50 years of experience each, they provide a comprehensive product portfolio divided into three main families: XP Xtrem Position for high-performance positioning applications, XL Xtrem Load for heavy-duty applications, and XT Xtrem Transport for automation technologies. In 2023, IPIRANGA joined The Timken Company, enhancing its product offerings and market reach.

📋 Description

• Design, develop, and enhance modern data solutions in the Azure Cloud environment, using Databricks as the primary analytics processing platform. • Develop, maintain, and optimize data ingestion, transformation, and delivery pipelines using Azure Databricks. • Implement scalable ETL/ELT processes for large volumes of structured and unstructured data. • Develop solutions using Python, PySpark, and SQL. • Build and maintain Lakehouse architectures based on Azure Data Lake Storage (ADLS Gen2) and Databricks. • Implement data engineering best practices, observability, monitoring, and governance. • Automate data processes using Git, CI/CD, and Infrastructure as Code. • Ensure data quality, integrity, traceability, and security. • Support Data Science, Machine Learning, Analytics, and Power BI initiatives. • Collaborate with architects, business analysts, and technology teams to define solutions aligned with business needs. • Identify opportunities to optimize platform performance and reduce costs through FinOps practices. • Participate in defining data engineering standards, frameworks, and best practices. • Mentor junior professionals.

🎯 Requirements

• Extensive experience as a Senior Data Engineer in corporate environments. • Proven experience with Microsoft Azure. • Advanced experience with Azure Databricks. • Experience with Data Lake and Lakehouse architectures. • Experience in Analytics, Big Data, and Modern Data Platform projects. • Hands-on, solution-oriented approach. • Ability to work autonomously in complex environments. • Strong communication skills with technical and business teams. • Analytical mindset and results-oriented approach. • Strong sense of ownership and commitment to quality. • Ability to mentor junior professionals. • Comfortable working in agile and collaborative environments. • Advanced Python. • Advanced PySpark. • Advanced SQL. • Azure Data Lake Storage Gen2. • Azure Data Factory. • Git and code version control. • DevOps and CI/CD for data. • Analytical and dimensional data modeling. • Spark pipeline performance optimization. • Knowledge of data governance, quality, and security concepts. • Data integration through APIs, relational databases, and enterprise systems. • Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics, or a related field. • Experience with Delta Lake. • Unity Catalog. • Databricks Workflows and Lakeflow. • Streaming with Spark Structured Streaming. • Power BI. • Microsoft Fabric. • Event Hub or Kafka. • Terraform or Bicep. • Machine Learning and MLOps solutions. • Knowledge of SAP Datasphere, SAP BDC, or SAP environments. • Experience with FinOps practices in Azure. • DP-203, Azure Data Engineer Associate, or Databricks Data Engineer certifications.

🏖️ Benefits

• Flexible working hours • Support for children with disabilities • Variable Compensation Program • Private pension plan • Length-of-service bonus • Online therapy and nutritional counseling • Newborn benefit package • Corporate university • Eyeglasses and contact lens reimbursement • Medication allowance • Vaccination allowance • Gympass • Meal and food allowances • Transportation allowance • Health and dental insurance • Life insurance