Company Description At InnovanT Tech, we’re more than IT consultants—we’re transformation partners. With over a decade of real-world experience and an award-winning presence, we combine strategic IT consulting, custom software development, cloud, AI/IoT, cybersecurity, telecom engineering, geospatial LiDAR analytics, and GCC operations to fuel innovation for global clients. We value growth, collaboration with industry experts, and idea-driven solutions that scale. InnovanT Tech is a transparent, client-driven, and quality-obsessed company where your ideas come to life. Role Description This is a contract remote role for a Data Engineer with a minimum of 3 years of experience. The Data Engineer will be responsible for designing, developing, and maintaining data processing systems, data models, and data warehouses. Key tasks include implementing ETL processes, ensuring data quality, and optimizing data solutions to support data analytics and business needs. Key Responsibilities • Develop, maintain, and optimize interactive dashboards and reports using Power BI. • Collaborate with cross-functional teams to understand business objectives and translate them into analytical solutions. • Extract, manipulate, and analyze large datasets using SQL and Python. • Identify key trends, patterns, and anomalies in data to inform strategic decisions. • Conduct ad-hoc analysis to support operational and strategic initiatives. • Present data-driven insights and recommendations to stakeholders in a clear and compelling manner. • Build and maintain data pipelines, ensuring data integrity and performance. • Stay current with emerging data analysis tools and best practices. Required Qualifications • Bachelor's degree in Business, Data Science, Computer Science, Statistics, or a related field. • 3+ years of experience in a data analyst or similar role with a strong business orientation. • Advanced Power BI skills including DAX, data modeling, and report optimization. • Web development experience (e.g. ajax, html, css, js) • Proficiency in SQL for data extraction and manipulation (e.g., joins, CTEs, subqueries). • Strong programming skills in Python (e.g., pandas, NumPy, matplotlib, seaborn). • Proven ability to communicate technical findings to non-technical stakeholders. • Experience with data warehousing and ETL processes is a plus. Preferred Qualifications • Familiarity with version control tools (e.g., Git). • Exposure to business domains such as finance, marketing, operations, or sales analytics. • Knowledge of machine learning or predictive modeling is a bonus. • No OPT/CPT