Here at Mindera, we are continuously developing a fantastic team and would love it for you to join us. As a Senior Data Engineer, you will be a key member of our data team responsible for designing, building, and maintaining the data infrastructure and pipelines that drive our data-driven decision-making processes. You will collaborate with cross-functional teams to ensure the availability, reliability, and accessibility of our data assets, enabling our organization to extract actionable insights and deliver high-impact solutions. National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.

• Review and refine AI-generated outputs related to data architecture, system design, integration requirements, and practical aspects of architecting data systems • Evaluate AI responses for architectural soundness, scalability, and compliance with real-world requirements • Draft realistic data architecture scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. data architect, business stakeholder, engineer, or client) • Identify gaps, oversights, or weak reasoning in AI-generated data architecture content

• Review and refine AI-generated outputs related to data architecture, system design, integration requirements, and practical aspects of architecting data systems • Evaluate AI responses for architectural soundness, scalability, and compliance with real-world requirements • Draft realistic data architecture scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. data architect, business stakeholder, engineer, or client) • Identify gaps, oversights, or weak reasoning in AI-generated data architecture content

Job Title: Senior Data Engineer (AWS) Experience: 6–8 Years Location: Remote Industry: Retail / Data & Analytics Job Summary We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments. This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams. Key Responsibilities - Design, develop, and maintain scalable data pipelines using AWS services. - Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool). - Manage and configure data workflows and orchestration within the Orion framework. - Develop and maintain configuration files and ensure seamless integration across systems. - Collaborate with data architects, analysts, and business stakeholders to deliver data solutions. - Optimize data processing performance and ensure data quality and reliability. - Work on data modeling, transformation, and warehousing solutions. - Implement best practices for data governance, security, and compliance. - Troubleshoot and resolve data-related issues across pipelines and infrastructure. - Contribute to continuous improvement and innovation in data engineering practices. Required Skills & Expertise - Strong experience with AWS ecosystem, including: - AWS Glue - Amazon S3 - AWS Lambda - Amazon Redshift / RDS - Hands-on expertise in DBT (Data Build Tool) for data transformation. - Solid understanding of data pipeline architecture and ETL/ELT processes. - Experience working with Orion framework and handling configuration-driven workflows. - Good understanding of networking concepts within AWS environments (VPC, subnets, security groups). - Proficiency in SQL and Python for data processing. - Experience with version control systems (Git). - Familiarity with CI/CD pipelines for data workflows. Preferred Qualifications - Experience in retail or supply chain data environments. - Exposure to real-time data processing and streaming frameworks. - Knowledge of data lake and lakehouse architectures. - AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect). Key Competencies - Strong analytical and problem-solving skills - Innovative mindset with a focus on continuous improvement - Ability to work in high-performance, collaborative teams - Excellent communication and stakeholder management skills - Ownership and accountability for deliverables