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CAS | Senior Data Engineer

Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22, 60000-000, BR
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Job Summary: We are seeking a Data Engineer to drive technical leadership, lead strategic initiatives, and influence architectural decisions—focused on maintaining and evolving data pipelines. Key Highlights: 1. Technical leadership and architectural influence 2. Leadership in architecture and construction of scalable pipelines 3. Handling complex challenges with autonomy If you are a Data Engineer who thrives on complex challenges and wants to act with technical leadership—shaping architectural decisions and supporting the team in building robust solutions—this opportunity is for you. We seek someone with strong communication skills, a collaborative mindset, and an open attitude to lead strategic initiatives and elevate the team’s technical standards. We are looking for a Data Engineer focused on maintaining and evolving the current data pipelines for the Card Machine and Bank Account products. You will be responsible for leading the architecture and construction of scalable data pipelines and platforms—and will have full autonomy to innovate and explore unconventional approaches! **Responsibilities and Duties** In this role, you will lead the architecture and construction of scalable data pipelines and platforms, serving as the team’s technical reference. You will help evolve internal standards and best practices, support engineering-related strategic decisions, and ensure data quality, governance, security, and reliability across the entire lifecycle. You will also collaborate with various teams to translate business needs into efficient solutions—and mentor and support less-experienced colleagues in advancing the team’s technical capabilities. You will develop and support ETL pipelines, i.e.: a) extracting raw data from source systems; b) transforming data through cleansing or applying business rules; c) ingesting processed data into information repositories (Data Lake, DW); dimensional (Fact x Dimension) and flat data modeling. Support data analysts and data scientists, business analysts, and PMs on strategic requests by building easily consumable data assets. Collaborate closely with systems teams to understand existing processes and business rules. Here’s what you’ll do: * Participate in strategic architectural decisions and evolution of the data ecosystem. * Design, implement, and optimize scalable, resilient, high-performance data pipelines to support business decision-making. * Ensure efficiency and governance in Big Data environments (AWS). * Document processes, data flows, and technical solutions for future reference—ensuring knowledge sharing and preservation. * Build data pipelines capable of identifying business opportunities and enhancing member experience using internal and external data. * Guarantee data quality, consistency, versioning, and traceability (data lineage). * Manage the development lifecycle of models: design, testing, simulation, and production deployment. * Perform data collection, cleaning, and transformation of raw data into formats suitable for analysis and processing. **Requirements and Qualifications** * Education: Engineering, Information Systems, Computer Science, Mathematics, Statistics, or related fields. * Solid expertise in Databricks. * Solid experience with Agile project management methodologies. * Knowledge of ETL optimization and cluster configuration. * Proficiency in SQL and Python for data manipulation and automation. * Advanced understanding of data modeling and data architecture concepts. * Analytical skills and ability to solve complex data- and technology-related problems. * Strong communication skills and ability to work collaboratively across stakeholders. * Ability to quickly learn new technologies and data-related concepts. * Curiosity and eagerness to learn—with rapid adaptability to new data technologies and concepts. * In-depth knowledge of ingestion architectures (batch, streaming, CDC). * Experience with Git for code versioning. * Familiarity with the Card Machine market is a plus. **Additional Information** At the **Sicredi Administrative Center (CAS)**, for business-area positions, we adopt a hybrid work model consisting of 3 days per week onsite at our headquarters located at Av. Assis Brasil, 3940, São Sebastião, Porto Alegre/RS, and 2 days remote. For Tech-area positions, we operate fully remotely. ________________________________________________________________________________ At **Sicredi**, you’ll enjoy: Fixed 14th and 15th salaries; Profit-sharing program (based on seniority); Health and dental plans with no co-payment; Well-being programs via Wellhub (formerly Gympass), nutrition, psychology, occupational health, massage, running group, and on-site gym; Meal and food allowances—with flexible % allocation across VA/VR cards and no co-payment; Extended maternity and paternity leave; Childcare or babysitting allowance for children up to 6 years and 11 months; Support for children with disabilities—no age limit; Life insurance; Private pension plan up to 8% of salary; Training platform—Sicredi Aprende—with diverse courses; 40-hour weekly workload—using a time-banking system; Remote work allowance (except for roles requiring 100% onsite presence). **Nice to meet you—we’re Sicredi.** Our journey began over 120 years ago as Brazil’s first financial cooperative. Today, we continue growing and transforming daily alongside **over 50,000 employees**—who have once again earned us the title of **Best Place to Work**, ranked #1 by Great Place To Work Brazil (GPTW). Together with **over 9 million members** across all Brazilian states, we believe in the power of cooperation to **build a more prosperous society and generate positive impact in people’s lives**—a purpose that unites and inspires us, promoting local and sustainable development, education, and financial inclusion. We continue seeking talents eager to help build a better world—and we want you on board. **#JoinSicredi!**

Source:  indeed View original post
João Silva
Indeed · HR

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