ZScale LLC

Share resume to kumar@ZScaleLLC.com Title: Data Engineer Experience: 5 – 7 years Notice Period: 2 Weeks Location: Hyderabad, Telangana, India PAN CARD: Mandatory Qualifications : 1. 5–7 years of experience as a Data Engineer, with at least 3 years working in Databricks 2. Strong proficiency in Python, PySpark, and Spark SQL 3. This role is ideal for someone passionate about building scalable data solutions, enabling analytics, and driving innovation in a modern data platform 4. Hands-on experience with DBT in a cloud data platform 5. Experience with DABS for workflow packaging and deployment 6. Proven expertise in Azure DevOps, Git, and CI/CD pipeline development 7. Solid understanding of data modeling, ETL/ELT, and performance optimization 8. Experience implementing monitoring and observability for data pipelines 9. Excellent communication and collaboration skills 10. The work environment is generally favourable. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc 11. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus 12. Frequently required to sit and/or stand Responsibilities 1. Design and develop scalable data pipelines using PySpark, Spark SQL, and Python within the Databricks environment 2. Build modular, version-controlled transformation workflows using DBT (Data Build Tool) 3. Package and deploy Databricks workflows and notebooks using Databricks Asset Bundles (DABS) for CI/CD and environment management 4. Integrate Databricks workflows with Azure DevOps for automated testing, deployment, and version control 5. Develop and maintain robust CI/CD pipelines for data engineering workflows using Git, Azure DevOps, and DABS 6. Implement and optimize dimensional data models, ELT/ETL processes, and performance tuning in cloud data platforms 7. Collaborate with data scientists, analysts, and business stakeholders to deliver high-impact data solutions 8. Implement logging, alerting, and monitoring for data pipelines using tools like Databricks Jobs, MLflow, or Azure Monitor 9. Reasonable accommodations will be evaluated and may be implemented to enable individuals with disabilities to perform essential functions of this position 10. This job operates in a professional office environment and routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, etc