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Senior Data Engineer
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Job Summary: Work as a Data Engineer in a collaborative and challenging environment, developing innovative data solutions and positively impacting people and businesses. Key Highlights: 1. Working in a multidisciplinary team to deliver data solutions 2. Developing ETL/ELT pipelines in cloud environments 3. An environment that encourages growth and ownership **Who We Are:** We are a digital transformation ecosystem that combines technology and strategic vision to **scale results** and increase the value delivered to our clients. We work on building **innovative and disruptive solutions** across **300+ projects with major national companies** from multiple industries. Our purpose is to **positively impact people and businesses**, exponentially empowering each to reach their full potential. We respect all differences and foster an **open and inclusive space**, where you can exercise autonomy, share your ideas, learn from mistakes, connect with others, and **drive change around you**. If you seek a collaborative, challenging environment that encourages continuous growth and empowers you to be the protagonist of your own story, this is the place for you! **Before moving forward, please note the following:** * **Employment Type:** CLT * **Work Model:** Remote * **Working Hours:** 9:00 AM–12:00 PM and 1:00 PM–6:00 PM * **Hiring Process Stages:** Comprised of 3–4 stages, with an average interval of up to 3 business days between stages. * **Communication Channels:** We use Email and WhatsApp. Please ensure these contact details are accurate during registration to avoid communication failures. **What Will Your Day-to-Day Look Like?** As a Data Engineer, you will collaborate within a multidisciplinary team to understand business challenges and design data solutions to address them. You will also develop ETL/ELT pipelines in cloud environments using orchestration tools and programming languages such as Python and SQL. In addition, the data engineer role may contribute insights into various improvements applicable to data projects—such as ML algorithms (in partnership with data scientists) and performance and cost optimizations. **To Succeed in This Role, You Must Have Expertise In:** * Programming Languages (Python, PySpark); * Airflow — Environment setup and data pipeline development; * Relational, non-relational, and data warehouse databases: BigQuery, MongoDB, SQL Server, Oracle, Hive, Hadoop; * Writing ANSI SQL queries; * Cloud services on GCP, AWS, and Azure related to data engineering; * Consuming REST and SOAP APIs; * ETL and ELT; **Nice-to-Have Skills Include:** * Practical knowledge and experience using Airflow; * Practical knowledge and experience in Machine Learning and AI. **What Do We Offer Our Builders?** * Meal Allowance (VA/VR) via Caju card; * Remote Work Allowance via Caju card; * Flexible Points Program on your Caju — *a flexible amount for you to use however you wish;* * National Health Insurance Plan by Porto Seguro (Silver Plan with private room, no co-payment), with 50% of the monthly premium covered by Builders; * Dental Insurance by Porto Seguro (Bronze Plan), with 100% of the monthly premium covered by Builders; * Childcare Assistance for children up to 72 months old; * Mental Health Support — *access to the Vida+ app*; * Physical Health Support — *access to the Gympass app*; * Life Insurance ***Curious to learn more? #LetsGo — Apply now!***

Source:  indeed View original post
João Silva
Indeed · HR

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