Senior Data Engineer – AWS, Databricks

Job not on LinkedIn

🕒 June 12

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New 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

Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Map data from source systems, identifying structures, relationships, and business rules. • Lead the migration of raw data into the Databricks environment, ensuring integrity, traceability, and quality. • Develop and maintain scalable, efficient data pipelines (ETL/ELT) on Databricks and Delta Lake with technical autonomy. • Apply business rules and transformations required to build regulatory reports. • Build and validate reports for BACEN (Brazilian Central Bank), ensuring adherence to layouts, validations, and regulatory deadlines. • Contribute to data architecture decisions and to the design of solutions within the Databricks/AWS ecosystem. • Ensure that compliance, security, governance, and data quality criteria are followed throughout the data lifecycle. • Diagnose and resolve complex technical issues related to the Databricks platform, providing advanced support. • Provide technical support and share knowledge with less experienced team members. • Collaborate with business, regulatory, and cross-functional technical teams.

🎯 Requirements

• 4+ years of experience as a data engineer, with proven senior-level experience. • Strong experience with Databricks (preferably 3+ years), Python, and AWS. • Experience integrating Databricks in an AWS cloud environment. • Solid knowledge of data modeling, Delta Lake, data warehousing, and ETL/ELT concepts. • Proficiency in Python and SQL applied to processing large volumes of data. • Experience designing and implementing distributed data architectures and processing pipelines. • Hands-on experience in mapping and migrating data from legacy systems or diverse sources. • Autonomy to drive end-to-end deliveries and make well-founded technical decisions. • Strong focus on quality, scalability, performance, and data governance. • Good communication and collaboration skills within cross-functional teams. • Ability to solve problems creatively and efficiently. • Nice to have / Differentials: • Experience with regulatory reporting to BACEN (e.g., SCR / Documento 3040, COSIF, DLO) and/or experience in the financial/banking sector. • Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional) or certifications in related technologies. • Familiarity with DevOps practices and infrastructure automation (CI/CD). • Experience with data visualization tools (Power BI, MicroStrategy). • Experience with agile methodologies (Scrum/Kanban). • Experience mentoring junior/mid-level professionals.

🏖️ Benefits

• 🏥 Porto Seguro Health Plan • 🦷 Porto Seguro Dental Plan • 💰 Profit Sharing (PLR) • 👶 Childcare Assistance • 🍽️ Alelo Meal and Food Vouchers • 💻 Home Office Allowance • 📚 Partnerships with Educational Institutions • 🚀 Support for Certifications, including Cloud • 🎁 Livelo Points • 🏋️‍♂️ TotalPass • 🧘‍♂️ Mindself