Azure Data Engineer in Hyderabad, भारत

Job Title : Azure Data Engineer (7+ Years Experience)Location : Hyderabad - HybridExperience : 7+ YearsEmployment Type : Full-TimeJob Summary:We are looking for an experienced Azure Data Engineer with 7+ years of expertise in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong experience with Azure data services, ETL/ELT pipelines, cloud data warehousing, big data processing, and SQL/Python development. The role involves collaborating with cross-functional teams to build reliable, secure, and high-performance data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :- Design, develop, and maintain scalable data pipelines using Azure data services.- Build and optimize ETL/ELT processes using Azure Data Factory (ADF).- Develop data integration solutions using Azure Databricks, PySpark, and Spark SQL.- Design and implement data lakes using Azure Data Lake Storage Gen2 (ADLS).- Develop and maintain cloud-based data warehouse solutions using Azure Synapse Analytics.- Create and optimize SQL queries, stored procedures, and database objects.- Work with structured, semi-structured, and unstructured data from multiple sources.- Implement data quality, validation, governance, and security best practices.- Optimize data processing performance and troubleshoot pipeline failures.- Automate deployments using Azure DevOps and CI/CD pipelines.- Monitor Azure resources and ensure high availability and performance.- Collaborate with business analysts, data scientists, and application teams to deliver data solutions.- Prepare technical documentation and provide production https://jobeax.com/link/SmIqDhLyzxAjrjGX Skills :1. Azure Services :- Azure Data Factory (ADF)- Azure Databricks- Azure Synapse Analytics- Azure Data Lake Storage Gen2 (ADLS Gen2)- Azure SQL Database, Azure Blob Storage, Azure Key Vault, Azure Monitor / Log Analytics. 2. Programming & Databases :- SQL (Advanced)- Python- PySpark- Spark SQL, T-SQL.3. Big Data Technologies :- Apache Spark- Delta Lake- Data Lake Architecture- Data Warehousing Concepts.4. DevOps & Version Control :- Azure DevOps, Git, CI/CD Pipelines.5. Methodology :- Agile/Scrum https://jobeax.com/link/JpIS43ZQHPU2uNnC Qualifications :- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.- 7+ years of experience in Data Engineering.- Minimum 4+ years of hands-on experience with Microsoft Azure Data Platform.- Strong experience with Azure Data Factory and Azure Databricks.- Hands-on experience with Azure Synapse Analytics.- Strong SQL and Python programming skills.- Experience in building enterprise-scale ETL/ELT pipelines.- Experience working with Azure Data Lake Storage.- Good understanding of cloud architecture and distributed data https://jobeax.com/link/GtFiATZzFkWlSrud Qualifications :- Microsoft Azure Data Engineer Associate certification.- Experience with Microsoft Fabric.- Experience with Delta Lake and Lakehouse architecture.- Knowledge of Power BI integration.- Experience with Kafka or Event Hubs for streaming data.- Exposure to Snowflake or other cloud data warehouses.- Experience working in banking, healthcare, insurance, or retail https://jobeax.com/link/AiymxrwHih5ExbK8 to Have :- Microsoft Fabric- Azure Functions- Logic Apps- Azure Event Hubs- Azure Stream Analytics- Docker- Kubernetes- Terraform, Purview, Power https://jobeax.com/link/HAkYMlSFGR17VY52 Skills :- Strong analytical and problem-solving skills.- Excellent communication and stakeholder management.- Ability to work independently and in a collaborative team environment.- Strong documentation and presentation skills.- Ability to mentor junior engineers and participate in technical design https://jobeax.com/link/6uKezUCggB8PY5Iq Requirements :- Total IT Experience : 7+ Years- Azure Data Engineering : 4+ Years- Azure Data Factory : 4+ Years- Azure Databricks & PySpark : 3+ Years- Azure Synapse Analytics: 2+ Years- SQL Development : 5+ Years- Python Development : 3+ Years (ref:hirist.tech)