Blend360 Data Engineer - On Prem \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Engineer - On Prem Full-time Company Description Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a to contribute to our next level of growth and expansion. Job Description Were looking for a skilled Data Engineer with strong experience in distributed systems, Python/Scala, and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics, BI, and operational workflows across both on-premise and cloud environments. In this role, youll work closely with both Blends internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making. This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale, modern data environments, while gaining exposure to advanced architectures and tooling. You will: Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs. Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark. Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS. Develop and maintain dbt models to ensure clean, reliable, and well-structured data. Implement robust data ingestion processes, integrating with third-party APIs and on-premise systems. Collaborate with cross-functional teams to align on business goals and technical requirements. Contribute to documentation and continuously improve engineering and data quality processes. Qualifications 3+ years of experience in data engineering, including at least 1 year with on-premise systems. Proficiency in Python for data workflows and pipeline development. Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt. Familiarity with third-party APIs and data ingestion processes. Excellent communication skills, with the ability to work independently and engage effectively with both technical and non-technical stakeholders. Preferred Qualifications Masters degree in Data Science or a related field. Experience with Airflow or other orchestration tools. Hands-on experience with Cursor, Copilot, or similar AI-powered developer tools. I'm interested I'm interested Imprint I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Engineer - On Prem Hyderabad, India Full-time I'm interested I'm interested

The role requires at least three years of experience in data engineering, with a minimum of one year focused on on-premise systems. Proficiency in Python for data workflows and pipeline development is essential. Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt is necessary. Familiarity with third-party APIs and data ingestion processes is also required. A Masters degree in Data Science or a related field is preferred.