Data Cloud Engineer Employment Type: Full-Time / Permanent Work Mode: 100% Remote

Working Hours
3:00 PM – 11:00 PM IST Job Overview We are looking for a skilled and experienced Data Cloud Engineer with a strong background in Data Engineering, Cloud Engineering, Microsoft Azure, and Databricks. The ideal candidate will be responsible for designing, developing, implementing, and maintaining scalable cloud-based data engineering solutions. The candidate should have hands-on experience building and optimizing data pipelines, managing cloud-based data platforms, implementing data integration solutions, and working with large-scale data processing technologies. Solid expertise in Azure and Databricks is essential for this role.

Key Responsibilities
• Design, develop, and maintain scalable and reliable data pipelines and data engineering solutions.
• Build, implement, and optimize data processing workflows using Azure and Databricks.
• Develop and manage ETL/ELT pipelines for data ingestion, transformation, and integration.
• Work with Azure cloud services to design and maintain cloud-based data infrastructure.
• Develop and optimize Databricks notebooks, workflows, and Spark-based applications.
• Implement data lake and lakehouse architectures to support enterprise data requirements.
• Ensure data quality, reliability, security, and performance across data platforms.
• Monitor, troubleshoot, and optimize data pipelines and cloud-based workloads.
• Collaborate with cross-functional teams, including data engineers,



cloud engineers, architects, and business stakeholders.
• Follow best practices for cloud infrastructure management, data governance, and deployment. Required Skills & Qualifications
• Strong experience in Data Engineering and Cloud Engineering.
• Hands-on experience with Microsoft Azure cloud services.
• Strong practical experience with Databricks and Apache Spark.
• Experience developing ETL/ELT pipelines and data integration solutions.
• Good knowledge of Python and SQL.
• Experience working with Azure Data Lake Storage (ADLS).
• Understanding of data lake, lakehouse, and modern cloud data architectures.
• Experience in data transformation, processing, performance tuning, and optimization.
• Strong troubleshooting, analytical, and problem-solving skills.
• Ability to work independently and collaborate effectively with distributed teams. Preferred Qualifications
• Experience with Azure Data Factory (ADF).
• Knowledge of Azure Synapse Analytics.
• Experience with Delta Lake and Delta Live Tables.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Azure DevOps, Git, and infrastructure automation.
• Understanding of data security, governance, and access management. Work Requirements
• Full-time / Permanent employment.
• 100% Remote opportunity.
• Must be comfortable working in the 3:00 PM – 11:00 PM IST shift.
• Strong communication and collaboration skills.

📌 Data Cloud Engineer (India)
🏢 DataE2E Technologies
📍 India