Azure Data Engineer- Freelancer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Azure Data Engineer – Freelancer based in India. We are seeking an experienced Azure Data Engineer to provide technical leadership and deliver scalable, high-performance data solutions in a remote, project-based environment. In this freelance role, you will help shape data engineering architectures, optimize data pipelines, and establish robust coding and quality standards. You will collaborate with project managers, data architects, and business stakeholders to translate requirements into effective technical solutions. Your expertise will contribute to reliable data platforms, strong governance practices, and efficient cloud-based data processing. This opportunity offers flexibility, autonomy, and the ability to accept projects that align with your availability and interests. The engagement is designed for seasoned professionals who enjoy solving complex challenges and delivering meaningful results.

Provide technical expertise and direction in data engineering, recommending appropriate tools, technologies, methodologies, and industry best practices. Collaborate with stakeholders to understand business and technical requirements, define project scope, and develop project plans. Support project managers in delivering projects on time, within budget, and according to established quality standards. Monitor project progress, identify potential risks, and implement mitigation strategies. Design and oversee scalable, efficient data architectures aligned with business needs, including data modeling, database design, and data integration. Establish coding standards and conduct code reviews to maintain high-quality, maintainable code. Introduce and improve quality assurance processes for data pipelines and workflows. Optimize data processing and storage to improve performance, operational efficiency, and cost-effectiveness. Evaluate and implement technologies and practices that enhance CI/CD, quality assurance, and coding standards. Maintain accurate technical documentation, validate its content, and conduct regular reviews. Ensure data engineering solutions comply with applicable security standards, privacy requirements, and governance practices. Stay informed about emerging data engineering technologies and continuously identify opportunities for improvement. Requirements: Bachelor's or master's degree in Computer Science, Information Systems, or a related field; relevant cloud certifications are an advantage. 8–10 years of professional experience in data engineering or a related discipline. Strong programming and data manipulation skills, particularly in Python, SQL, and PySpark. Hands-on familiarity with Microsoft Azure data services, including Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, and Azure Synapse. Strong knowledge of Delta Lake, data warehousing, Spark architecture, and cloud-based data solution implementation. Experience designing and managing ETL frameworks, data pipelines, and data warehousing solutions. In-depth understanding of data management principles, including data governance, data quality, and data integration. Familiarity with Azure DevOps and modern CI/CD practices, along with coding standards and quality assurance processes. Strong analytical and problem-solving abilities, with the capacity to troubleshoot complex data engineering challenges. Knowledge of data security and privacy regulations and the ability to incorporate compliance requirements into technical solutions. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams, clients, stakeholders, and senior management. A continuous learning mindset and an interest in evolving data engineering technologies and practices. Consulting experience and a strong external customer focus are preferred. An active sole proprietorship suitable for B2B cooperation is required throughout the agreement. Benefits: Flexible freelance engagement: Open-ended B2B cooperation, with an active sole proprietorship required for the duration of the agreement. Part-time workload: Up to 50% of a full-time schedule, depending on project requirements. Flexible project participation: Choose whether to accept suitable project opportunities based on your availability and interests, without having to terminate the agreement when you decline a project. Remote working arrangement: Work remotely and enjoy flexibility in where and how you work, in line with the applicable remote work policy. Equipment support: Equipment is typically provided for freelancers, although a virtual machine may be supplied depending on the project. Autonomy and ownership: Freedom to contribute ideas and determine your approach to delivering results. Inclusive working environment: Join a diverse, collaborative, and values-driven professional community. Learning and development: An environment that encourages continuous improvement, professional growth, and the development of technical expertise. Compensation and additional benefits: Specific rates, healthcare coverage, paid leave, and other monetary benefits are not specified in the provided job description.