4.0 - 8.0 years

0 Lacs

karnataka

On-site

As an experienced Azure Data Engineer, you will be a valuable member of our data engineering team, contributing to the design, development, and maintenance of data pipelines and platforms on Azure. Leveraging tools and services such as Microsoft Fabric, Azure Data Factory, Python notebooks, Azure Functions, and Data Warehouses, you will play a crucial role in building scalable, reliable, and secure data workflows that drive analytics and business intelligence initiatives. Your responsibilities will include designing and implementing scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric, integrating data from various sources into centralized data warehouses or lakehouses, and creating Python notebooks for data transformation and machine learning preparation. Additionally, you will develop Azure Function Apps for tasks like lightweight compute, API integration, and orchestration, collaborate with analysts and stakeholders to deliver high-quality data models, and ensure best practices in data governance, security, version control, and CI/CD for data pipelines. To excel in this role, you should have a minimum of 3-5 years of hands-on experience in data engineering with a strong focus on Azure technologies. Proficiency in Microsoft Fabric, Azure Data Factory (ADF), Python notebooks, Azure Functions, and Data Warehousing concepts is essential. Strong SQL skills for data extraction, transformation, and modeling are also required, along with a good understanding of modern data architectures such as medallion architecture, lakehouse, and data mesh principles. If you are passionate about data engineering, enjoy working with cutting-edge technologies, and thrive in a collaborative environment, we encourage you to apply and be part of our team dedicated to continuous improvement and innovation in data platform architecture.,

Posted 1 month ago

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Imply Specialist Data Engineer Blis

5.0 - 9.0 years

0 Lacs

maharashtra

On-site

As a Data Engineer at Blis, you will be part of a globally recognized and award-winning team that specializes in big data analytics and advertising. We collaborate with iconic brands like McDonald's, Samsung, and Mercedes Benz, providing precise audience insights to help them target their ideal customers effectively. Upholding ethical data practices and privacy rights is at the core of our operations, and we are committed to ensuring outstanding performance and reliability in all our systems. Working at Blis means being part of an international company with a diverse culture, spanning across four continents and comprising over 300 team members. Headquartered in the UK, we are financially successful and poised for continued growth, offering you an exciting opportunity to contribute to our journey. Your primary responsibility as a Data Engineer will involve designing and implementing high-performance data pipelines on Google Cloud Platform (GCP) to handle massive amounts of data efficiently. With a focus on scalability and automation, you will play a crucial role in building secure pipelines that can process over 350GB of data per hour and respond to 400,000 decision requests each second. Your expertise will be instrumental in driving improvements in data architecture, optimizing resource utilization, and delivering fast, accurate insights to stakeholders. Collaboration is key at Blis, and you will work closely with product and engineering teams to ensure that our data infrastructure evolves to support new initiatives seamlessly. Additionally, you will mentor and support team members, fostering a collaborative environment that encourages knowledge sharing, innovation, and professional growth. To excel in this role, you should have at least 5 years of hands-on experience with large-scale data systems, with a strong focus on designing and maintaining efficient data pipelines. Proficiency in Apache Druid and Imply platforms, along with expertise in cloud-based services like GCP, is essential. You should also have a solid understanding of Python for building and optimizing data flows, as well as experience with data governance and quality assurance practices. Furthermore, familiarity with event-driven architectures, tools like Apache Airflow, and distributed processing frameworks such as Spark will be beneficial. Your ability to apply complex algorithms and statistical techniques to large datasets, along with experience in working with relational databases and non-interactive reporting solutions, will be valuable assets in this role. Joining the Blis team means engaging in high-impact work in a data-intensive environment, collaborating with brilliant engineers, and being part of an innovative culture that prioritizes client obsession and agility. With a global reach and a commitment to diversity and inclusion, Blis offers a dynamic work environment where your contributions can make a tangible difference in the world of advertising technology.,

Posted 2 months ago

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