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Azure Synapse Developer - Data Engineering

ZEEPLEWORK TECHNOLOGIES PRIVATE LIMITED

Job Description : Key Responsibilities : - Design, develop, and maintain scalable data engineering solutions using Azure Synapse Analytics.- Develop robust data pipelines using Azure Data Factory (ADF) and other Azure data services.- Build and optimize large-scale data processing solutions using PySpark and Python.- Develop and maintain data processing workloads using Databricks.- Work with Microsoft Fabric and modern cloud-based data platforms.- Implement Medallion Architecture (Bronze, Silver, Gold) for scalable and governed data processing.- Design and implement data ingestion, transformation, cleansing, validation, and aggregation processes.- Develop efficient ETL/ELT pipelines for structured and unstructured data.- Work with Azure Data Lake / Data Lake Storage for enterprise-scale data storage and processing.- Develop and optimize data models for data warehousing, reporting, and analytics.- Write complex and optimized SQL queries for data extraction, transformation, validation, and performance tuning.- Optimize Synapse, Spark, and data pipeline workloads for performance, scalability, and cost efficiency.- Participate in large-scale cloud data migration and modernization initiatives.- Support the migration of legacy data platforms and workloads to modern Azure-based data architectures.- Build data solutions supporting regulatory reporting and analytics platforms.- Implement data quality, reconciliation, monitoring, and error-handling mechanisms.- Collaborate with data architects, business analysts, reporting teams, and other engineering teams.- Troubleshoot data pipeline and production issues and perform root-cause analysis.- Follow data governance, security, compliance, and engineering best practices.Required Candidate Profile : - Strong hands-on experience in Data Engineering and cloud-based data platforms.- Hands-on experience with Azure Synapse Analytics is mandatory.- Strong experience with PySpark and Python.- Hands-on experience with Azure Data Factory and data pipeline development.- Experience with Databricks and Spark-based data processing.- The ideal candidate should possess strong data engineering expertise with hands-on experience in Azure Synapse Analytics, Pyspark, Fabric, Databricks, and modern cloud-based data platforms, designing, developing, and optimizing scalable data solutions.Key Skills : Pyspark, Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric, Data Pipeline, Azure Data Lake, Data Lake, Data Warehousing, ETL, Data Bricks, Python, SQL. (ref:hirist.tech)

Vacancy posted 6 days ago
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