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10795493 - Data Engineer

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

Job Summary: We are seeking a professional to support data platforms and reporting solutions, with a focus on SQL troubleshooting, data analysis, and operational support. Key Highlights: 1. SQL Server technical support and Azure data pipelines 2. Data analysis and validation to identify anomalies 3. Collaboration with data engineers and stakeholders We are **Quality Digital**! Learn more about us: * **A phrase that defines us** — We are IT solutions specialists and passionate about innovation! * **To infinity and beyond** — We are *\#borderless*. Our team is spread across Brazil and the world. * **Our culture** — Though remote, we stay connected. We hold ceremonies to get closer, share knowledge, and stay updated on company news! * **We are diverse** — One of our commitments is to make our company an increasingly diverse, inclusive, and respectful environment, valuing and promoting plurality. Therefore, **there is space here for everyone**, regardless of race, gender, age, sexual orientation, religious belief, or disability. * **Our goal** — To empower our clients’ businesses through innovative and sustainable solutions. Are you ready to join us? **Responsibilities and Duties** **What are we looking for?** We seek a professional to support data platforms and reporting solutions. This role focuses on SQL-based troubleshooting, data analysis, and operational support, working collaboratively with engineering, analytics, and business teams to ensure data quality, availability, and reliability. **Your day-to-day will include:** * Providing technical support for data-related issues in SQL Server environments and Azure-based data pipelines; * Writing, optimizing, and troubleshooting SQL / T\-SQL queries, views, and stored procedures; * Monitoring and supporting Microsoft SQL Server environments (data integrity, performance, and availability); * Supporting and resolving issues in data pipelines and integrations on Azure Data Factory (ADF); * Performing data analysis and validation to identify anomalies, inconsistencies, or data quality issues; * Supporting incident resolution, root cause analysis (RCA), and documentation; * Collaborating with data engineers, analysts, and stakeholders to fulfill reporting and analytics requirements. **Requirements and Qualifications** **Required Skills:** * Solid knowledge of SQL and T\-SQL; * Practical experience with Microsoft SQL Server; * Basic to intermediate experience with Azure Data Factory; * Strong data analysis skills and attention to detail; * Knowledge of data modeling and relational databases; * Ability to diagnose and resolve issues in production or production-like environments; * Advanced / fluent English; * Strong analytical mindset and problem-solving orientation; * Good communication skills, especially for explaining technical topics to non-technical audiences; * Ability to work independently and manage multiple support requests; * Curious, proactive profile with willingness to learn. **Nice-to-have:** * Python knowledge for scripting, automation, or data analysis; * Basic understanding of data science (statistics, data exploration, simple models); * Experience with ETL processes and data pipelines; * Familiarity with Power BI or other BI tools; * Knowledge of Power Apps will be considered a plus. **Working Hours** * 6:00 AM – 3:00 PM — Remote. **NOTE:** Hey! If you don’t meet all the job requirements, we still invite you to apply! We’ll carefully evaluate your profile considering all your qualifications. **Additional Information** **What you’ll find here:** * An environment conducive to **learning** and **professional growth** * **Performance evaluations** and **feedback**, aimed at continuous development of our people * **Meal and/or food allowance**, for grocery shopping and meals * **Medical and dental assistance**, so you and your family stay healthy * **Pharmacy partnership**, offering discounts on medications * **Childcare allowance**, per current policy * **Gym partnership**, to encourage physical activity * **SESC partnership**, offering diverse cultural and leisure activities * **Partnerships for language learning, technology training, and online course platforms** * **Payroll-deductible loans**, with attractive rates + financial education program * **Corporate University and knowledge pathways**, featuring diverse content on technology, soft skills, market trends, and more * **Employee Referral Program**, with opportunities for rewards and bonuses * **Group life insurance**

Source:  indeed View original post
João Silva
Indeed · HR

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Indeed
João Silva
Indeed · HR
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