Data Engineer

80 Days Old

Job Summary: We are looking for a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in data management, SQL, Python, and data visualization tools like Power BI. With 5+ years of experience working with data in an enterprise environment, you will design, develop, and maintain scalable data pipelines and systems. This role involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Qualifications: Education: Bachelor’s degree in Computer Science , Information Technology , or a related field. Experience: 5+ years of experience working with data in an enterprise environment. 5+ years of hands-on experience with SQL queries and Python . Proven experience with Power BI and Oracle databases . Strong understanding of data modeling , ETL processes , and data warehousing . Excellent problem-solving skills and attention to detail . Strong communication and collaboration skills, with the ability to work independently and as part of a team. Key Responsibilities: Design & Develop Scalable Data Pipelines: Develop and maintain efficient, scalable data pipelines and systems to handle large datasets. Collaborate with Cross-functional Teams: Work closely with teams across the organization to understand data requirements and provide tailored solutions. SQL Query Optimization: Optimize and troubleshoot SQL queries for performance, ensuring efficiency and effectiveness. ETL Process Development: Design and maintain ETL processes using Python to extract, transform, and load data from various sources. Data Integration & Management: Integrate and manage data from multiple sources, including Oracle databases , to ensure seamless data flow. Report & Dashboard Creation: Create and maintain interactive reports and dashboards using Power BI to provide actionable insights. Ensure Data Quality & Security: Monitor data integrity, quality, and security, ensuring that all data meets the company’s standards. Data Analysis & Support for Business Decisions: Perform data analysis to support decision-making and provide insights that drive business strategies. Stay Updated with Industry Trends: Keep up-to-date with the latest industry trends, technologies, and best practices to continuously improve data solutions. Why Join Us? Impactful Work: Be part of a team that values data-driven decision-making and supports innovation. Career Growth: Opportunities for professional development and career progression in a fast-paced, dynamic environment. Collaborative Culture: Work in a supportive and collaborative team atmosphere with access to cutting-edge tools and technologies.
Location:
Birmingham
Category:
Technology

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