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Senior Data Engineer - AWS - Hybrid Remote

seniorhybridTrofa, PTScore 65/1001d ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
Data analysisArtificial Intelligence (AI)DataStage (ETL)ETLMicrosoft AzureMicrosoft Power BIAmazon Web Services (AWS)automationComputer Vision (AI)Audio & Speech (AI)awsazure
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Description
About the Role We are looking for a Senior Data Engineer to join a long-term project, contributing to the design, development, and optimization of data solutions that support business needs. We are looking for a hands-on professional with solid experience in data engineering, ETL processes, and multiple technologies, who can bring technical expertise, share knowledge, and deliver value to the team. The ideal candidate combines strong technical skills with a business-oriented mindset, enjoys working closely with stakeholders, and is interested in exploring AI and automation opportunities to improve data processes. Key Responsibilities Design, develop, maintain, and optimize data pipelines and ETL/ELT processes. Build and manage scalable data solutions using Python, Databricks, AWS, and Azure. Ensure data quality, consistency, reliability, and performance across data workflows. Analyze business requirements and translate them into effective data solutions. Collaborate with business stakeholders to understand their needs and deliver actionable insights. Support the development and maintenance of Power BI reports and dashboards. Identify opportunities to automate processes and improve data engineering workflows. Explore and contribute to the adoption of AI-driven solutions and innovative technologies. Troubleshoot technical issues and continuously improve existing data architectures and processes. Share technical knowledge and contribute to best practices within the team. Require
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