Data Engineer, Mid-level

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Extractta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

QUEM SOMOS

📋 Description

• Develop, maintain, and automate ETL/ELT processes, ensuring data quality, integrity, and availability. • Build, evolve, and monitor data pipelines in cloud environments. • Work with large volumes of data, ensuring performance, scalability, and reliability. • Implement continuous improvements in data ingestion, transformation, and delivery processes. • Support data governance, quality, and information security initiatives. • Perform data analysis and cleansing to support analytical and operational requirements. • Develop and maintain technical documentation related to data processes and workflows. • Collaborate with cross-functional teams to understand and implement business requirements. • Contribute to the evolution of data engineering practices and development best practices.

🎯 Requirements

• Experience in Data Engineering, ETL/ELT, and developing data pipelines. • Proficiency in SQL for querying, modeling, and performance optimization. • Knowledge of Python for data processing and transformation. • Experience with Databricks, including creating notebooks, developing pipelines, and distributed processing. • Experience in cloud environments, especially Azure. • Knowledge of Azure Data Lake and other services within the platform's data ecosystem. • Experience with relational databases, particularly SQL Server. • Knowledge of relational and dimensional data modeling and Data Lake-based architectures. • Understanding of data quality, governance, and data management best practices. • Strong analytical skills, problem-solving ability, and a collaborative working style. • Preferred: • Knowledge of Power BI for data consumption and visualization. • Experience in projects within the Insurance sector. • Knowledge of DataOps, CI/CD, and pipeline automation. • Experience with Lakehouse architecture. • Experience with agile methodologies.

🏖️ Benefits

• Meal and/or food allowance • Partnership with Sesi and Sesc, providing access to health, wellness, and leisure services • Partnerships with educational institutions offering exclusive discounts on courses and educational programs • Opportunity for career growth within the company and participation in strategic projects • Opportunity to work at a rapidly growing company in the market.