Senior Data Engineer

As a Senior Data Engineer (Azure) at our organization, you will be responsible for managing large-scale data efficiently on Azure. Your passion for overcoming challenges and delivering exceptional results will be key in this role. We are seeking an individual with expertise in Azure data services, ETL pipelines, and database management. If you are a proactive problem solver with a solid technical background and a positive team player, we are excited to hear from you. Your main responsibilities will include developing, monitoring, and maintaining end-to-end data pipelines on Azure. You will have the opportunity to work with various Azure services such as Azure Data Factory (ADF), Azure Synapse, Databricks, and Azure Blob Storage for data ingestion, processing, and analytics. Additionally, you will design and optimize data workflows for structured and unstructured data, ensuring efficient data models for optimal performance. To excel in this role, you should possess a Bachelor's/Master's degree in Computer Science, Data Engineering, or a related field, along with at least 4 years of hands-on experience in data engineering, ETL development, and data pipeline implementation. Proficiency in Python and SQL is crucial for data processing and analysis. Strong expertise in Azure data services, big data processing frameworks, and data warehouse solutions is highly desirable. Collaboration with cross-functional teams, including data scientists and software engineers, will be a key aspect of your role. You will be responsible for ensuring data quality, integrity, and compliance with security best practices. Your ability to work independently, mentor peers, and meet tight deadlines will be essential for success in this position. In addition, we offer a flat-hierarchical, friendly, engineering-oriented, and growth-focused culture with flexible work timing, leaves for life events, and work-from-home options. You will have access to free health insurance and various office facilities such as a fully-equipped game zone, an in-office kitchen with affordable lunch service, and free snacks. We also provide sponsorship for certifications/events and a library service to support your professional development. If you are looking to join a dynamic team where you can contribute your expertise in data engineering and Azure services, we encourage you to apply. Your experience with cloud-based data architecture, machine learning model deployment, and automated data pipeline deployment using CI/CD workflows will be valuable assets to our team. Join us in delivering innovative data solutions and making a meaningful impact in the field of data engineering.,