IT Developer I

Description

Job Summary: A Data Engineer will work with an agile team to build Data Pipelines for data ingestion and data availability in Santander Brasil's Corporate Data Lake. Key Highlights: 1. Work with an agile team on a strategic project. 2. Create Data Pipelines for data ingestion and data availability. 3. Work on a strategic project in the cards domain. IT Developer I Country: Brazil \# WHO WE ARE F1RST is the future—and your career starts here! Our culture is built on "People, Innovation, and Results". We are part of the largest international bank in Brazil and one of the largest banks worldwide, delivering services and experiences to over 60 million customers across the entire Santander ecosystem. Join the team whose purpose is to support people and help businesses thrive. We are passionate about technology. We are F1RST Digital Services. Follow us on LinkedIn to stay updated on all news: https://www.linkedin.com/company/f1rstdigitalservices We have an opening for you to become an **IT Developer I** **Your role will be:** The Data Engineer will collaborate with the Cards team’s Data Engineering group to build Data Pipelines for ingestion and availability of cards-domain data in Santander Brasil’s Corporate Data Lake. The candidate will work within an agile team on a strategic area project and must possess expertise in Databricks and PySpark. **Mandatory Skills** Databricks proficiency: Experience working with Apache Spark on Databricks, including creation and optimization of data pipelines. Experience with PySpark, Python, and Kedro: Strong programming skills in PySpark, Python, and Kedro for developing, debugging, and maintaining data transformation code. Batch and Streaming Data Processing: Knowledge of batch and streaming (messaging) data processing, with ability to design, implement, and maintain data processing pipelines. DevOps knowledge: Familiarity with Jenkins for continuous integration and delivery (CI/CD), as well as automation of deployment tasks and pipeline management. Git: Proficiency in Git for source-code version control and effective collaboration within development teams. Agile methodologies: Understanding of Agile principles and practices such as Kanban and Scrum for effective collaboration and project management. Orchestration tools (e.g., Control-M or others): Knowledge of process orchestration tools, important for scheduling and controlling workflow execution. Microsoft Azure knowledge: Experience with key Microsoft Azure data services, including Azure Databricks, Azure Data Factory, and Azure Storage Accounts. **Desirable Skills** AWS knowledge: Experience with core AWS services such as Aurora PostgreSQL, CloudWatch, Lambda, and S3. On-Premises environments (Cloudera): Prior experience with Cloudera or other on-premises big data solutions—including Hadoop, HBase, and Hive—is desirable. Object-Oriented Development knowledge: Familiarity with JAVA is highly beneficial (coding not required; interpretation ability is sufficient). Optional certifications: AZ-900 (Microsoft Azure Fundamentals) and DP-900 (Microsoft Azure Data Fundamentals) certifications are preferred and demonstrate solid knowledge of the Azure platform and data concepts. **Work Location:** Geração Digital – Av Interlagos, 3501 – Interlagos, São Paulo \- SP \# BENEFITS: Meal allowance; Health insurance; Dental insurance: Basic and intermediate plans; Transportation voucher; Flexible Vacation: 24 business days of vacation, divisible into up to six installments; after every two months worked, you can already enjoy four business days; Birthday Day Off; Gym partner programs: Wellhub, Totalpass; Flexible Working: Hybrid work model—2 days remote and 3 days onsite; Training platforms with over 100,000 courses; Career paths for professional development; Flex Learning: Exclusive study incentive program for High-Performance employees; Childcare allowance; Nascer Program and Extended Paternity Leave. Life insurance; Nascer Program; Be Healthy—Program encouraging healthier habits; PAPE—Specialized Personal Support Program; \n**\#LI\-DNI**