Azure Data Engineer - Noida
- Location
- Noida, Uttar Pradesh, India
- Salary
- INR 1,500,000 - 1,500,000 / year
- Company
- Akash pawar
Job description
• Role & Company / Project Overview: We are seeking an experienced Azure Data Engineer with strong hands-on expertise in building scalable data engineering solutions and cloud-based data pipelines. • Key Responsibilities & Daily Duties: - Design, develop, and maintain scalable cloud-based data pipelines and data engineering architectures. - Perform distributed data processing and data manipulation using PySpark. - Write, develop, and optimize complex SQL queries for relational and NoSQL databases. - Design and execute data warehousing, ETL/ELT pipelines, data modeling, and integration tasks. - Troubleshoot and resolve data pipeline, data integration, and production issues in real-time. - Collaborate closely within an Agile/Scrum environment to deliver sprint objectives. • Required Qualifications, Skills & Experience: - Experience: 4 to 6 Years. - Core Skills: Azure Databricks, Azure Data Factory (ADF), PySpark, and SQL. - Strong hands-on experience with Azure Databricks and Azure Data Factory (ADF). - Strong proficiency in PySpark and distributed data processing. - Strong SQL skills, including query development and query optimization. - Hands-on experience working with relational and/or NoSQL databases. - Solid understanding of data warehousing, ETL/ELT processes, data modeling, and data integration principles. - Good architectural understanding of Azure cloud-based data engineering solutions. - Proven troubleshooting skills for pipeline bugs and production failures. - Strong analytical and problem-solving capabilities. - Prior experience working effectively in an Agile/Scrum team structure. - Good to have: Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure SQL, CI/CD & DevOps practices, Data quality & monitoring tools, and experience with large-scale enterprise data platforms. • Working Hours, Shifts & Location Details: - Location: Noida, Uttar Pradesh, India. - Work Model: Hybrid. • Compensation & Benefits: - Salary: Upto 15 LPA. • Application Instructions: - Candidates passionate about building reliable, scalable data solutions on Azure are invited to submit their CV for review.