DATA ENGINEER/ ANALYTICS SPECIALIST at Crystal Magnate | …

Job Title:Data Engineer / Analytics Specialist (Python Power BI)Department:Data AnalyticsEmployment Type:Full TimeLocation:RemoteMonitoring Tool: MonitaskCompany DescriptionCRYSTAL MAGNATE is a data-driven e-commerce consulting firm dedicated to transforming online businesses through advanced analytics, AI technologies, and tailored strategic insights. Built on over 20 years of experience in data analytics and artificial intelligenceincluding collaborations with Fortune 50 C-suite leaderswe bring enterprise-level intelligence to the e-commerce world. Since 2020, we have empowered high-revenue e-commerce brands with customized dashboards, predictive analysis, real-time data integration, and actionable insights that enhance sales, customer retention, operational efficiency, and overall profitability. Our expert team works closely with business leaders, beginning with a complimentary consultation to craft and execute a tailored growth strategy. We partner with ambitious e-commerce businesses ready to elevate performance through data-driven innovation and long-term scalability.Job SummaryWe are seeking a motivatedData Engineer / Analytics Specialistto join our growing team. This role is ideal for early-career professionals who are passionate about data, eager to build scalable solutions, and ready to contribute to impactful analytics projects. You will work closely with cross-functional teams to design, develop, and maintain data pipelines, while also supporting business intelligence and reporting needs.Key ResponsibilitiesDesign, build, and maintain efficientETL/ELT pipelinesfor structured and unstructured data using Python SQL.Maintain data warehouses or lakes, ensuring data accuracy, quality, and consistency.Troubleshoot pipeline failures and optimize queries for performance.Collaborate with analysts and stakeholders to translate business requirements into technical solutions.Collaborate with sales, operations, and product teams to gather data requirements.Optimize database performance and troubleshoot issues proactively.Design, build, and maintain interactive Power BI dashboards, reports, and visualizations for clients and internal stakeholders.Validate and reconcile datasets from multiple sources to ensure correctness.Stay updated on emerging tools and best practices in data engineering and analytics.QualificationsBachelor’s degree in computer science, Data Science, Engineering, or related field.12 years of professional experiencein data engineering, analytics, or related roles.Proficiency in SQL and experience with relational databases.Familiarity with data pipeline tools (e.g., Airflow, dbt, or similar).Experience with cloud platforms (AWS, Azure, or GCP) is a plus.Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Preferred SkillsKnowledge of Python or another scripting language for data manipulation.Experience with BI tools (Power BI, Tableau, Looker).Understanding of data warehousing concepts.Exposure to big data technologies (Spark, Hadoop) is advantageous.What We OfferCompetitive hourly ratescommensurate with expertise and problem-solving ability.Flexible remote work environment (remote with monitoring tool MONITASK).Opportunities for professional growth and skill development.Collaborative and supportive team culture.Why Join Us?This is a fantastic opportunity to grow your career in data engineering and analytics while working on meaningful projects in a fully remote environment. Youll gain hands-on experience, mentorship, and the chance to make a real impact with data-driven insights. Job Title:Data Engineer / Analytics Specialist (Python Power BI) Job Title: Data Engineer / Analytics Specialist (Python Power BI) Department:Data Analytics