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Posted:4 weeks ago| Platform: Linkedin logo

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Job Title :- Senior Data Engineer Experience :- 7+ yrs Notice :- Imm joiner We are looking for a highly experienced Azure Data Engineer with strong technical expertise in data engineering tools and platforms within the Azure ecosystem. The ideal candidate should have 7 + years of relevant experience and a deep understanding of data warehousing, data pipelines, and cloud-based data processing frameworks. Key Responsibilities: Design and implement scalable data pipelines and ETL processes using Azure Data Factory (ADF), PySpark, and Databricks . Manage and optimize Azure Data Lake and integrate with Azure Synapse Analytics for large-scale data storage and analytics. Collaborate with cross-functional teams to gather requirements, design data solutions, and deliver actionable insights. Develop and optimize SQL queries for data extraction and transformation. Apply data modeling techniques and implement best practices for data governance and quality. Work closely with BI developers and stakeholders to support reporting and dash-boarding solutions. Implement and manage CI/CD pipelines for data engineering solutions. Required Skills: 7+ years of experience in Azure Data Engineering. Strong proficiency in SQL and at least one programming language (preferably Python ). Deep experience with: Azure Data Factory (ADF) Azure Databricks Azure Data Lake Azure Synapse Analytics PySpark Knowledge of data warehousing concepts and implementation. Experience in Apache Spark or similar ETL tools. Preferred/Good to Have: Experience with Microsoft Fabric (MS Fabric) . Familiarity with Power BI for data visualization. Domain knowledge in Finance , Procurement , or Human Capital . Show more Show less

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